Who we are:

At Focused, we move quickly to deliver quality software that achieves client outcomes and meets their customer’s needs. We strategically partner with our clients to leverage our expertise in design and software, while our clients bring their own domain expertise. We work with a variety of clients from different industries, collaborating as we get new products to market, modernizing legacy systems, or helping teams learn the skills they need to be successful.   

Our values:

• Listen first • We are experts in product practices but life long learners in the domain of our customers. We research, collaborate, and understand. 
• Learn why • We ask questions and talk to users to understand problem spaces, objectives, and goals, which allows us to deeply invest and drive towards the outcomes of our clients. 
• Love your craft • We love diving into a variety of domains and solving problems.  We take pride in delivering value, in communicating progress, and guiding our clients to success.

At Focused, our Engineers are both practitioners and experts in their craft. This role would play a crucial role in shaping and implementing engineering best practices and ensuring the successful delivery of complex software projects. With clients, we develop trust and influence - we are unintimidated and unintimidating. With colleagues, we set the standard for how we deliver success for clients.

What would you be doing?

• Directly engage with clients and provide expertise through pair programming and development on LangChain / LangGraph powered applications
• Deep expertise in LangChain, LangGraph and LangSmith
• Lead teams through end-to-end delivery across the stack, from backend services to modern web UIs.
• Pair program daily with teammates and clients to share knowledge, improve code quality, and grow together.
• Practice TDD and continuous refactoring to ensure code is reliable, maintainable, and understandable.
• Guide architecture decisions to support scalability, observability, and performance.
• Collaborate closely with designers, product managers, and stakeholders to continuously deliver valuable software.
• Coach developers on the team through pairing, mentoring, and modeling healthy engineering culture.
• Influence technical direction beyond the team, working across client orgs and Focused’s internal practices to share lessons, shape approaches, and raise the collective bar.
• Stay curious through experimenting with new patterns in the GenAI space, share what works (and what doesn’t), and help evolve how we build AI-powered software.

We are excited about you, because you:

• You’re a hands-on, full stack engineer with a strong track record of delivering software in collaborative, agile environments.
• You’ve worked with LangChain (or similar agentic frameworks), and understand how to architect AI-native systems responsibly and effectively.
• You have experience leading engineering teams and feel confident mentoring and supporting other developers.
• You believe that code quality matters, and that TDD and pairing help build better systems and stronger teams.
• You’ve worked across multiple languages or frameworks (e.g., Python, Node, Java, React, Next.js) and are pragmatic about tool selection.
• You’re excited about what’s happening in the AI space but stay focused on delivering value.
• You have experience navigating complex organizations, building bridges across functions, and helping teams adopt modern development practices.
• You’re as comfortable in the code as you are in a client meeting and can translate technical risks and wins into language anyone can understand.
• You love to share what you’re learning and make the team around you better.

If you had worked at Focused over the last 3 months you may have:

• Paired with a teammate to build a document Q&A system using LangChain and OpenAI APIs
• Helped design an architecture that integrates LLM agents into a legacy enterprise workflow
• Refactored a flaky test suite to support continuous delivery with confidence
• Mentored a junior dev through their first pairing and TDD session
• Built and deployed a full stack GenAI MVP with a React frontend and FastAPI backend
• Facilitated an architecture spike to evaluate vector database options for semantic search
• Contributed a new section to our internal AI playbook
• Helped write this job req

What to know before you apply: 

• This role will require working in a client office in the greater Dallas, TX area three days per week and up to 20% travel within the United States.
• Focused is unable to sponsor or take over sponsorship of the employment Visa process at this time.
• The Colorado base salary range for this role is $175,000 - $250,000.

About the opportunity

The Customer Insights & Adoption (CIA) team is hiring a senior architect to lead internal technical enablement across Contentful’s product portfolio and recommended ways of building. You will serve as a deeply technical, highly cross-functional subject matter expert who empowers internal teams, customers, and partners to adopt Contentful with confidence and consistency. You’ll apply your industry experience, consultative leadership, and passion for teaching to build scalable programs and toolkits that drive a shared understanding of what good looks like, inform product innovation, and guide business strategy.

What to expect?

• Own and evolve internal technical enablement on Contentful product features, implementation patterns, and best practices for the Customer Experience organization (e.g. Customer Success Management, Professional Services, Learning Services, Customer Support Engineering) and cross-functional teams (e.g. Sales Engineering, Partnerships)
• Serve as a company-wide Contentful subject matter expert by engaging closely with internal teams to develop prescriptive implementation guidance and synthesize it into workshops, enablement materials, tools, examples and other resources
• Establish a strategic, scalable technical enablement practice that supports continuous education, centralized knowledge sharing, and consistent understanding across teams, customers, and solution partners
• Collaborate with Product, Product Marketing and Demo teams throughout the product development lifecycle to evaluate new features, provide actionable feedback, and influence decisions as a trusted advisor
• Coordinate closely with Professional Services to translate customer implementation insights into impactful enablement content; coordinate with Learning Services and Developer Experience to ensure messaging and guidance are aligned across courses, training, and documentation
• Create, curate, and maintain a library of enablement materials including feature usage guidance, prescriptive patterns, use cases, discovery questions, and architectural recommendations
• Develop and deliver internal workshops and technical training that effectively support both technical and non-technical audiences; model excellent virtual facilitation and learner engagement techniques
• Contribute to and help lead strategic enablement initiatives, such as starter kits, maturity models, trial environments, and other cross-team projects that strengthen our internal, customer, and partner ecosystem
• Support Customer Success Managers and Partner Managers as a technical advisor during select customer and partner engagements, providing clarity on architecture, implementation decisions, and best practice adoption

What do you need to be successful?

• 6+ years of experience in solutions architecture, technical consulting or a similar technical role, ideally in a digital experience platform environment or solution services agency
• Deep familiarity with content management systems, composable architecture, and modern web development patterns (e.g. headless CMS, API-first)
• Practitioner-level code proficiency, including comfort working with modern web frameworks (e.g. React, Next.js), APIs, SDKs, and developer tooling, with the ability to critically evaluate implementation approaches
• Proven ability to translate complex technical concepts into clear, actionable guidance for both technical and non-technical audiences, including in writing, workshops, and live facilitation
• Strong track record of building and scaling technical enablement programs, knowledge bases, or enablement practices in a cross-functional environment
• Experience working closely with Customer Success, Professional Services, Sales Engineering, or Partner teams in a customer-facing or internal advisory capacity
• Excellent consultative and communication skills, with the ability to influence stakeholders and drive alignment across teams
• Demonstrated ability to synthesize customer and field insights into prescriptive patterns, architectural recommendations, and reusable enablement assets
• Comfortable taking ownership of strategic initiatives from ideation through execution
• Experience designing and delivering engaging virtual training and workshops with strong learner engagement techniques
• Collaborative mindset with a passion for teaching, knowledge sharing, and elevating the technical capability of those around you

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

The application deadline is 05/17/2026

Colorado Salary Statement: The salary range displayed is specifically for those potential hires who will work or reside in the state of Colorado if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD/technology), for example.

Colorado Salary: $149,000- $200,999

About the Opportunity

The Customer Insights & Adoption (CIA) team is hiring a Senior Product Architect, Internal Tools (f/m/d) to design and build internal products that help Contentful teams work smarter. This role serves internal product development, turning ambiguous workflow problems into useful systems that improve how Customer Experience, Sales, and Partner-facing teams operate every day.

This is a hands-on role with approximately 60% implementation and 40% architecture and planning. You will actively contribute production code while owning technical design and direction for a focused set of internal tools that support pipeline, retention, and customer experience outcomes. You’ll prototype, iterate, and operationalize internal systems that are lightweight where they should be, durable where they need to be, and designed for clear long-term ownership.

If you are excited by the idea of shipping high-leverage internal tools, bringing order to messy workflows, and translating promising prototypes into systems people actually rely on, this role offers the chance to have visible impact across the business.

Why this role matters

CIA’s internal tools work is part of how we turn customer, field, and partner insights into operational advantage. The right tools help our teams move faster, reduce manual work, improve data quality, and create a more consistent way of supporting customers and partners. This role exists to make those improvements real — not as one-off experiments, but as well-scoped internal products and patterns that deliver demonstrable value for our internal teams.

• Join a high-impact team building internal products that improve customer experience, strengthen field effectiveness, and help Contentful scale more effectively
• Shape how CIA approaches internal product development, R&D, and technical architecture — with meaningful room to influence both the systems we build and the way we build them
• Work on a wide range of interesting problems, from internal apps and integrations to structured data workflows, experimentation, and AI-assisted tooling
• Partner with deeply cross-functional stakeholders across CX, Sales, Partnerships, Product, IT, and Platform teams, with visible impact on how Contentful operates internally

What to expect? 

This is a hands-on role with approximately 60% implementation and 40% architecture and planning

• Own and evolve a focused set of internal tools, utilities, and integrations that support the Customer Experience organization (CSMs, Support, Professional Services, Learning Services) and cross-functional internal users such as Sales, Partnerships, and Pricing & Packaging
• Lead R&D and rapid prototyping efforts to identify high-leverage solutions, then determine which ideas should remain lightweight, which should be operationalized, and which should be designed for clean handoff to other teams
• Build production-quality front-end and back-end code, including API design, data flows, resilience, observability, and robust internal user experiences that align with our design system and engineering standards
• Apply component-based and front-end best practices to ensure internal tools are consistent, scalable, and maintainable
• Leverage Contentful and other internal platforms where appropriate to create reusable patterns and scalable internal solutions rather than reinventing common capabilities from scratch
• Explore and implement web crawler and scraper approaches, structured extraction workflows, and other internal data-ingestion patterns
• Explore and implement AI-assisted workflows where relevant to improve internal tools, accelerate development, and support pragmatic experimentation without compromising quality or maintainability
• Collaborate with IT, InfoSec, Platform, Legal, and Privacy partners on responsible data handling, hosting, identity, compliance, and operational readiness
• Define success metrics, instrument telemetry, report impact, and document architecture & playbooks so that stakeholders understand where they unlock value for Sales, CSMs, Professional Services, and adjacent teams, and how other teams can support or extend the systems over time

What success looks like

• Customer Experience, Sales, and partner-facing internal teams rely on a focused set of internal tools that are easy to use, well adopted, and meaningfully improve how work gets done across the business
• Internal tools built by this role are consistent, scalable, and reliable, reflecting strong front-end patterns, sound API and data-flow design, and user experiences that align with Contentful’s design system and internal platform standards
• Stakeholders have clear visibility into the impact of CIA-built systems through trusted success metrics such as adoption, time saved, data quality, and reliability, and use those signals to prioritize future investments
• Cross-functional partners experience CIA as a pragmatic, high-leverage internal product and architecture function that can take ambiguous problems, define the right solution, and deliver useful systems that support pipeline, retention, and customer experience outcomes
• Reusable patterns, technical documentation, and operating playbooks make it easier for adjacent teams to build on this work, support it over time, and extend internal tooling without accumulating unnecessary complexity or one-off solutions

What you need to be successful

• Demonstrated ability to balance system design with hands-on implementation, including recent experience contributing to production codebases
• 7–10 years building and operating production web applications
• Hands-on expertise with modern TypeScript, React and Next.js (or equivalent), state management, testing, performance, and accessibility best practices
• Back-end experience with Node.js and TypeScript, API design, eventing or queues, and serverless or containerized services, along with sound observability practices across logs, metrics, and traces
• Experience with Contentful or similar API-first CMS and composable content platforms
• Ability to translate ambiguous requirements into clear technical designs and scalable implementations, engineered for maintainability and ownership transfer
• Experience designing web application architectures, data flows, and integration points across multiple systems, with judgment about when to build a full product, when to automate, and when to keep a solution intentionally small
• Experience establishing lightweight engineering practices for a small team, including clear documentation, code review norms, testing approaches, release discipline, and operational readiness
• Mentorship and technical leadership that raises the bar on code quality, design rigor, and documentation while helping peers make better architectural decisions
• Clear written and verbal communication with technical and non-technical stakeholders, along with a bias for action and evidence-based decision making

Nice to Have

• Practical experience with AI and LLM-based workflows, particularly spec-based development, evaluation, and test or guardrail processes
• Experience working with component-based front-end architectures and design systems, including design tokens, component libraries, CSS architecture, accessibility, and Figma design and development experience
• Familiarity with web crawling and scraping approaches, including structured content extraction, normalization, and change detection
• Experience building internal tools, dashboards, or workflow systems for customer-facing, revenue, or operations teams

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive equity awards for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

About the Opportunity

We are hiring a Personalization Solution Architect with deep domain expertise in personalization and experimentation to join Contentful’s Professional Services team. This role is designed for a practitioner who has built, operated, and scaled personalization programs in production, and who also brings the hands-on technical skills required to implement those programs in modern, composable architectures.

This is not a generalist Solution Architect role with light exposure to personalization. Success in this role requires strong opinions and real-world experience across audience strategy, decisioning, experimentation, and measurement—paired with the ability to design and deliver high-quality technical implementations using Contentful Personalization.

You will work directly with customer engineering, product, and marketing teams to design and implement advanced personalization and experimentation solutions, while also serving as a customer-facing extension of Contentful’s Product and Engineering teams. Your work will help reduce implementation risk, accelerate time to value, and create tighter feedback loops into product development—specifically for complex personalization use cases.

What to expect? 

Personalization & Experimentation Domain Leadership 

• Own the end-to-end design of personalization and experimentation programs, including:
• audience and segmentation strategies grounded in behavioral, contextual, and first-party data
• experience decisioning models that balance relevance, performance, and governance
• experimentation frameworks (A/B, multivariate, holdouts) with clear hypotheses and success criteria
  
  
• Design personalization strategies that scale responsibly, including:
• guardrails to prevent over-personalization, bias, and degraded user experience
• approaches for global, multi-brand, or multi-region deployments
• tradeoffs between targeting precision, latency, and operational complexity
  
  
• Define measurement approaches that connect:
• user behavior → decisioning logic → exposure → business outcomes
  
  
• Act as a domain authority for personalization and experimentation in customer engagements, confidently guiding technical and non-technical stakeholders through best practices, limitations, and tradeoffs.

Technical Solution Architecture & Hands-On Delivery

• Architect and implement end-to-end personalization solutions using Contentful Personalization, including:
• user identification and profile stitching
• audience evaluation and decisioning
• personalized content and experience delivery
  experimentation and uplift measurement
  
  
• Lead hands-on implementation activities such as:
• building proof-of-concepts and reference implementations
• configuring personalization models and decision logic
• developing integration services and APIs
• supporting production deployments and performance optimization
  
  
• Integrate personalization solutions with enterprise platforms including:
• CDPs (Segment, Tealium, mParticle, etc.)
• CRMs (Salesforce, Dynamics)
• analytics platforms (GA4, Adobe Analytics, Snowplow)
• identity, consent, and privacy tooling
  
  
• Design personalization delivery patterns across modern rendering strategies:
• SSR, CSR, SSG, ISR
• edge and CDN-based personalization
• hybrid static + runtime personalization approaches
  
  
• Ensure solutions meet enterprise requirements for:
• performance and scalability
• reliability and fallback behavior
• security and privacy compliance

Technical Discovery & Customer Enablement

• Lead technical discovery sessions to assess customer readiness across:
• data quality, identity maturity, and event instrumentation
• architectural constraints (latency, caching, edge delivery)
• content model alignment and operational workflows
  
  
• Translate personalization requirements into detailed technical designs, including:
• integration patterns and API contracts
• data and event schemas
• deployment and observability considerations
  
  
• Enable customer teams through:
• implementation workshops and pair-programming
• architecture and code reviews
• developer documentation and operational runbooks

Cross-Functional Collaboration & Feedback Loops

• Partner closely with Contentful Product and Engineering teams to:
• surface implementation challenges and recurring customer pain points
• provide feedback that influences roadmap, developer experience, and documentation
• validate new personalization capabilities against real customer use cases
  
  
• Contribute to internal enablement by:
• mentoring Solution Architects and delivery team members
• developing reusable accelerators, patterns, and reference architectures
• supporting Sales and Solution Engineering with technical expertise in complex personalization opportunities

What you need to be successful?

Required: Personalization & Experimentation Domain Expertise

• Demonstrated, hands-on experience designing and operating personalization and experimentation programs in production, including:
• ownership of audience strategy and decisioning logic
• designing and running A/B or multivariate experiments beyond basic UI testing
• interpreting experiment results and translating them into iterative improvements
  
  
• Strong understanding of personalization challenges such as:
• identity resolution and anonymous vs known users
• data sparsity and cold-start scenarios
• experimentation validity, bias, and statistical tradeoffs
• privacy, consent, and regulatory constraints

Required: Technical & Architectural Skills

• Advanced proficiency with modern web technologies:
  • JavaScript / TypeScript
  • React with Next.js (preferred), or Vue/Nuxt, Angular
  • REST and GraphQL APIs
    
    
• Deep understanding of web rendering and delivery patterns:
  • SSR, CSR, SSG, ISR
  • caching strategies and personalization at scale
• Strong experience integrating SaaS platforms and enterprise systems via APIs
• Experience designing or implementing cloud-native architectures (AWS, Azure, or GCP), including:
  • serverless or microservices-based systems
  • event-driven or streaming architectures

Professional Services & Collaboration Skills

• Experience delivering customer-facing technical engagements in a consulting or professional services context
• Comfortable leading technical deep dives with engineering teams and explaining experimentation concepts to non-technical stakeholders
• Strong written communication skills, especially technical documentation

Nice to Have

• Experience with CDPs, tag management systems, and event pipelines
• Familiarity with ML-driven personalization approaches (e.g., propensity models, recommenders), even if models are externally managed
• Experience working in composable DXP ecosystems (CMS, personalization, experimentation, commerce)

What Success Looks Like

• Customers successfully deploy production-grade personalization and experimentation programs using Contentful Personalization.
• Personalization solutions you design are:
• measurable and outcome-driven
• performant at enterprise scale
• governed and extensible over time
• Customer engineering teams trust your guidance because you bring deep personalization domain expertise backed by hands-on implementation experience.
• Product and Engineering teams benefit from clear, actionable feedback rooted in real customer implementations.
• Contentful is consistently seen as a credible personalization partner, not just a technology vendor.

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

The application deadline is 05/18/2026

Colorado Salary Statement: The salary range displayed is specifically for those potential hires who will work or reside in the state of Colorado if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD/technology), for example.

Colorado Salary Range: $140,000 - $190,000 

The Role: 

Location: This position is remote in Denver, CO. We intend to open an office in Denver and once we do, we will require hybrid attendance onsite at least 9 days each month.

Responsibilities:

Qualifications:

Preferred Skills (Nice-to-Have)

For residents of Denver, CO the annual salary range for this role is $152,000-$190,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

Location: This role requires 2-3 days a week in office in San Francisco, CA.

Responsibilities:

Qualifications:

Preferred Skills (Nice-to-Have)

For residents of San Francisco, CA the annual salary range for this role is $168,000-$215,000 annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

Location: This role requires 2-3 days a week in office in Soho, NY.

Responsibilities:

Qualifications:

Preferred Skills (Nice-to-Have)

For residents of New York, New York the annual salary range for this role is $168,000-$215,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

About the Team

At Dice, we believe that delivering an exceptional candidate experience — the end-to-end journey a job seeker takes to discover, evaluate, and land their next role — is essential to the success of our platform. This team plays a critical role in building the next generation of that experience, contributing across a modern full-stack environment. We value engineers who are curious, collaborative, and committed to making an impact for thousands of job seekers.

We are an AI-native team. We actively use AI coding assistants (e.g., Claude Code, Codex, Gemini CLI) to accelerate development, sharpen code quality, and focus our energy on higher-impact engineering work.

About the Role

As a Senior Software Engineer at Dice, you’ll contribute to the design, development, and delivery of high-impact product features in a modern, cloud-native stack. As a senior engineer you’ll be expected to provide technical leadership within the team by driving architectural decisions, mentoring teammates, and helping maintain a high standard of quality and maintainability. You’ll collaborate cross-functionally with Product, Design, and Data partners to align on outcomes and advocate for sound technical solutions.

Being AI-native is central to how we work. We expect engineers in this role to go beyond using AI as a simple chat assistant, embracing tools like Claude Code as core parts of the development workflow to increase productivity such as automating repetitive tasks by generating skills and leveraging subagents, and apply best practices through prompt engineering to get the most out of the AI tools we use at every stage of the software lifecycle.

Why We’re Hiring for This Role

As we scale and modernize our platform, we’re looking for experienced senior engineers who can take ownership of complex systems, communicate effectively with stakeholders, deploy AI-powered features, and contribute to product and architectural decisions. This role is ideal for someone who enjoys working across the stack, solving real user problems, working with AI, and influencing both code and culture.

In the Short Term, You Will:

Ramp Up on Systems and Codebases

Gain familiarity with our applications, services, tools, and infrastructure. Develop an understanding of how your team’s work fits into the broader product and architecture.

Establish Technical Ownership

Take responsibility for features and systems, provide thoughtful code reviews, and contribute to team design discussions. You’ll be trusted to make solid technical decisions and defend them clearly when needed while staying open to feedback.

Collaborate and Align

Work closely with engineers, product managers, designers, and stakeholders to align on priorities and deliver incremental value. Help improve the team's planning and execution rhythm.

In the Long Term, You Will:

Drive Technical Excellence

Help evolve our systems through well-designed, scalable AI architecture. Reduce tech debt, improve performance, and contribute to shared engineering standards.

Mentor and Elevate the Team

The Senior Software Engineer at Dice plays a key role in mentoring peers, reviewing designs, and helping grow the technical capabilities of those around you.

Deliver Meaningful Business Impact

Own end-to-end delivery of AI-powered product features that support business goals and enhance user experience. Influence the roadmap by advocating for technical investments that align with long-term value.

What You Bring to the Team:

• Proven experience building and deploying production-grade applications with a track record of delivering value through practical, maintainable solutions
• Strong technical skills and experience in cloud-based technologies
• Track record of development and deployment of ML and AI features into a Production environment.
• Ability to navigate ambiguity, make sound decisions, and adapt to changing priorities
• A collaborative, team-first mindset — you know the best outcomes come from working well together, and you actively contribute to a supportive, inclusive team environment
• Technical depth and experience that allows you to lead design discussions, break down complex tasks into meaningful deliverables, and ensure a high standard of engineering quality
• A sense of urgency, accountability, and ownership, you take pride in your work and team achievements.
• Strong communication, problem-solving, and collaboration skills, with the confidence to advocate for ideas while being open to alternative perspectives

Required:

• Proven experience building and maintaining business-critical applications using Node.js and TypeScript in a production setting
• Hands-on experience developing scalable, maintainable RESTful and GraphQL services in production environments
• Working knowledge of container-based technologies (Docker, Fargate, Kubernetes, or other)
• Experience with front-end frameworks such as NextJS, React, or Angular
• Demonstrated experience building highly available applications on AWS infrastructure
• Experience implementing and working with CI/CD pipelines to support automated testing and deployments
• Ability to apply quality best practices and implement automated testing using tools such as Playwright
• Solid understanding of architectural patterns (event-driven, serverless, SOA, and others)
• Practical understanding of how to implement traditional Machine Learning models and LLMs in production, including knowledge of model selection criteria and architectural trade-offs
• Hands-on experience deploying LLM-powered features into production, such as simple LLM API calls, RAG (Retrieval-Augmented Generation) systems, Vector Stores, and MCP Servers
• Familiarity with AI/ML tooling such as LangChain, LangGraph, LangSmith, Vercel AI SDK, LiteLLM, or equivalent frameworks

Preferred:

• Understanding of different programming paradigms such as OOP and Functional
• Experience with highly available, highly scalable SaaS applications
• Working knowledge of logging and observability best practices
• Familiarity with DevOps principles and the ability to work closely with platform teams
• Knowledge of performance tuning, cost optimization, or scalability in a cloud-native environment
• Comfort navigating ambiguity to define and implement technical solutions
• Experience collaborating with cross-functional partners (Product, Design, Data)
• Experience designing and deploying Agentic features or autonomous AI Agents in a production environment
• Experience with LLM evaluation techniques (e.g., LLMs-as-judges), prompt engineering, and context engineering
• Familiarity with LLM guardrails and safeguards, monitoring, and observability practices for production AI systems
• Experience working as an AI-native engineer — including creating agent skill files, configuring and orchestrating subagents, or building custom AI tooling to accelerate engineering workflows

NOTE: This job description is not intended to be an all-inclusive list of the duties and responsibilities of the job described, nor are they intended to be such a listing of the skills and abilities required to do the job. Rather, they are intended only to describe the general nature of the job as of the date this job description was prepared. Management reserves the right to modify this job in order to meet business needs. 

Who we are:

At Focused, we move quickly to deliver quality software that achieves client outcomes and meets their customer’s needs. We strategically partner with our clients to leverage our expertise in design and software, while our clients bring their own domain expertise. We work with a variety of clients from different industries, collaborating as we get new products to market, modernizing legacy systems, or helping teams learn the skills they need to be successful.   

Our values:

• Listen first • We are experts in product practices but life long learners in the domain of our customers. We research, collaborate, and understand. 
• Learn why • We ask questions and talk to users to understand problem spaces, objectives, and goals, which allows us to deeply invest and drive towards the outcomes of our clients. 
• Love your craft • We love diving into a variety of domains and solving problems.  We take pride in delivering value, in communicating progress, and guiding our clients to success.

At Focused, our Engineers are both practitioners and experts in their craft. This role would play a crucial role in shaping and implementing engineering best practices and ensuring the successful delivery of complex software projects. With clients, we develop trust and influence - we are unintimidated and unintimidating. With colleagues, we set the standard for how we deliver success for clients.

What would you be doing?

• Build AI-enabled applications leveraging LangChain and LLMs to deliver meaningful, production-ready outcomes for clients.
• Deep expertise in LangChain, LangGraph and LangSmith.
• Lead teams through end-to-end delivery across the stack, from backend services to modern web UIs.
• Pair program daily with teammates and clients to share knowledge, improve code quality, and grow together.
• Practice TDD and continuous refactoring to ensure code is reliable, maintainable, and understandable.
• Guide architecture decisions to support scalability, observability, and performance.
• Collaborate closely with designers, product managers, and stakeholders to continuously deliver valuable software.
• Coach developers on the team through pairing, mentoring, and modeling healthy engineering culture.
• Influence technical direction beyond the team, working across client orgs and Focused’s internal practices to share lessons, shape approaches, and raise the collective bar.
• Stay curious through experimenting with new patterns in the GenAI space, share what works (and what doesn’t), and help evolve how we build AI-powered software.

We are excited about you, because you:

• You’re a hands-on, full stack engineer with a strong track record of delivering software in collaborative, agile environments.
• You’ve worked with LangChain (or similar agentic frameworks), and understand how to architect AI-native systems responsibly and effectively.
• You believe that code quality matters, and that TDD and pairing help build better systems and stronger teams.
• You’ve worked across multiple languages or frameworks (e.g., Python, Node, Java, React, Next.js) and are pragmatic about tool selection.
• You’re excited about what’s happening in the AI space but stay focused on delivering value.
• You have experience navigating complex organizations, building bridges across functions, and helping teams adopt modern development practices.
• You’re as comfortable in the code as you are in a client meeting and can translate technical risks and wins into language anyone can understand.
• You love to share what you’re learning and make the team around you better.

If you had worked at Focused over the last 3 months you may have:

• Paired with a teammate to build a document Q&A system using LangChain and OpenAI APIs
• Helped design an architecture that integrates LLM agents into a legacy enterprise workflow
• Refactored a flaky test suite to support continuous delivery with confidence
• Built and deployed a full stack GenAI MVP with a React frontend and FastAPI backend
• Facilitated an architecture spike to evaluate vector database options for semantic search
• Contributed a new section to our internal AI playbook
• Helped write this job req

What to know before you apply: 

• This role will require being in the Chicago office three days per week and up to 20% travel within the United States.
• Focused is unable to sponsor or take over sponsorship of the employment Visa process at this time.
• The Chicago base salary range for this role is $120,000 - $175,000.

Who we are:

At Focused, we move quickly to deliver quality software that achieves client outcomes and meets their customer’s needs. We strategically partner with our clients to leverage our expertise in design and software, while our clients bring their own domain expertise. We work with a variety of clients from different industries, collaborating as we get new products to market, modernizing legacy systems, or helping teams learn the skills they need to be successful.   

Our values:

• Listen first • We are experts in product practices but life long learners in the domain of our customers. We research, collaborate, and understand. 
• Learn why • We ask questions and talk to users to understand problem spaces, objectives, and goals, which allows us to deeply invest and drive towards the outcomes of our clients. 
• Love your craft • We love diving into a variety of domains and solving problems.  We take pride in delivering value, in communicating progress, and guiding our clients to success.

At Focused, our Engineers are both practitioners and experts in their craft. This role would play a crucial role in shaping and implementing engineering best practices and ensuring the successful delivery of complex software projects. With clients, we develop trust and influence - we are unintimidated and unintimidating. With colleagues, we set the standard for how we deliver success for clients.

What would you be doing?

• Build AI-enabled applications leveraging LangChain and LLMs to deliver meaningful, production-ready outcomes for clients.
• Deep expertise in LangChain, LangGraph and LangSmith.
• Lead teams through end-to-end delivery across the stack, from backend services to modern web UIs.
• Pair program daily with teammates and clients to share knowledge, improve code quality, and grow together.
• Practice TDD and continuous refactoring to ensure code is reliable, maintainable, and understandable.
• Guide architecture decisions to support scalability, observability, and performance.
• Collaborate closely with designers, product managers, and stakeholders to continuously deliver valuable software.
• Coach developers on the team through pairing, mentoring, and modeling healthy engineering culture.
• Influence technical direction beyond the team, working across client orgs and Focused’s internal practices to share lessons, shape approaches, and raise the collective bar.
• Stay curious through experimenting with new patterns in the GenAI space, share what works (and what doesn’t), and help evolve how we build AI-powered software.

We are excited about you, because you:

• You’re a hands-on, full stack engineer with a strong track record of delivering software in collaborative, agile environments.
• You’ve worked with LangChain (or similar agentic frameworks), and understand how to architect AI-native systems responsibly and effectively.
• You believe that code quality matters, and that TDD and pairing help build better systems and stronger teams.
• You’ve worked across multiple languages or frameworks (e.g., Python, Node, Java, React, Next.js) and are pragmatic about tool selection.
• You’re excited about what’s happening in the AI space but stay focused on delivering value.
• You have experience navigating complex organizations, building bridges across functions, and helping teams adopt modern development practices.
• You’re as comfortable in the code as you are in a client meeting and can translate technical risks and wins into language anyone can understand.
• You love to share what you’re learning and make the team around you better.

If you had worked at Focused over the last 3 months you may have:

• Paired with a teammate to build a document Q&A system using LangChain and OpenAI APIs
• Helped design an architecture that integrates LLM agents into a legacy enterprise workflow
• Refactored a flaky test suite to support continuous delivery with confidence
• Built and deployed a full stack GenAI MVP with a React frontend and FastAPI backend
• Facilitated an architecture spike to evaluate vector database options for semantic search
• Contributed a new section to our internal AI playbook
• Helped write this job req

What to know before you apply: 

• This role will require being in the Denver office three days per week and up to 20% travel within the United States.
• Focused is unable to sponsor or take over sponsorship of the employment Visa process at this time.
• The Denver base salary range for this role is $120,000 - $175,000.

About the Team

At Dice, we believe that delivering an exceptional candidate experience — the end-to-end journey a job seeker takes to discover, evaluate, and land their next role — is essential to the success of our platform. This team plays a critical role in building the next generation of that experience, contributing across a modern full-stack environment. We value engineers who are curious, collaborative, and committed to making an impact for thousands of job seekers.

We are an AI-native team. We actively use AI coding assistants (e.g., Claude Code, Codex, Gemini CLI) to accelerate development, sharpen code quality, and focus our energy on higher-impact engineering work.

About the Role

As a Software Engineer at Dice, you’ll contribute to the design, development, and delivery of high-impact product features in a modern, cloud-native stack. As a Software Engineer, you’ll be expected to provide technical support within the team by adhering to architectural decisions, working collaboratively teammates, and helping maintain a high standard of quality and maintainability. You’ll contribute cross-functionally with Product, Design, and Data partners to achieve ongoing outcomes and implement sound technical solutions.

Being AI-native is central to how we work. We expect engineers in this role to go beyond using AI as a simple chat assistant, embracing tools like Claude Code as core parts of the development workflow to increase productivity such as automating repetitive tasks by generating skills and leveraging subagents, and apply best practices through prompt engineering to get the most out of the AI tools we use at every stage of the software lifecycle.

Why We’re Hiring for This Role

As we scale and modernize our platform, we’re looking for engineers who can take ownership of complex systems, communicate effectively with collaborators and team members, deploy AI-powered features, and contribute to product and architectural decisions. This role is ideal for someone who enjoys working across the stack, solving real user problems, working with AI, and influencing both code and culture.

In the Short Term, You Will:

Ramp Up on Systems and Codebases

Gain familiarity with our applications, services, tools, and infrastructure. Develop an understanding of how your team’s work fits into the broader product and architecture.

Establish Technical Ownership

Take responsibility for features and systems, provide thoughtful code reviews, and contribute to team design discussions. You’ll be trusted to make solid technical decisions and defend them clearly when needed while staying open to feedback.

Collaborate and Align

Work closely with engineers, product managers, designers, and stakeholders to align on priorities and deliver incremental value. Help improve the team's planning and execution rhythm.

In the Long Term, You Will:

Drive Technical Excellence

Help evolve our systems through well-designed, scalable architecture. Reduce tech debt, improve performance, and contribute to shared engineering standards.

Deliver Meaningful Business Impact

Own end-to-end delivery of product features that support business goals and enhance user experience. Influence the roadmap by advocating for technical investments that align with long-term value.

What You Bring to the Team:

• Proven experience building and deploying production-grade applications with a track record of delivering value through practical, maintainable solutions
• Strong technical skills and experience in cloud-based technologies
• Ability to navigate ambiguity, make sound decisions, and adapt to changing priorities
• A collaborative, team-first mindset — you know the best outcomes come from working well together, and you actively contribute to a supportive, inclusive team environment
• Technical depth and experience that allows you to contribute to design discussions, assist in breaking down complex tasks into meaningful deliverables, and ensure a high standard of engineering quality
• A sense of urgency, accountability, and ownership, you take pride in your work and team achievements.
• Strong communication, problem-solving, and collaboration skills, with the confidence to advocate for ideas while being open to alternative perspectives

Required:

• Proven experience building and maintaining business-critical applications using Node.js and TypeScript in a production setting
• Hands-on experience developing scalable, maintainable RESTful APIs in production environments
• Experience with front-end frameworks such as NextJS or React
• Demonstrated experience building highly available applications on AWS infrastructure
• Experience implementing and working with CI/CD pipelines to support automated testing and deployments
• Ability to apply quality best practices and implement automated testing using tools such as Playwright
• Solid understanding of architectural patterns (event-driven, serverless, SOA, and others)

Preferred:

• Understanding of different programming paradigms such as OOP and Functional
• Experience with highly available, highly scalable SaaS applications
• Working knowledge of logging and observability best practices
• Familiarity with DevOps principles and the ability to work closely with platform teams
• Knowledge of performance tuning, cost optimization, or scalability in a cloud-native environment
• Comfort navigating ambiguity to define and implement technical solutions
• Experience collaborating with cross-functional partners (Product, Design, Data)
• Familiarity with GraphQL APIs
• Working knowledge of container-based technologies (Docker, Fargate, Kubernetes, or other)

About the Team 

At Dice, we believe that delivering an exceptional candidate experience — the end-to-end journey a job seeker takes to discover, evaluate, and land their next role — is essential to the success of our platform. This team plays a critical role in building the next generation of that experience, contributing across a modern full-stack environment. We value engineers who are curious, collaborative, and committed to making an impact for thousands of job seekers. 

We are an AI-native team. We actively use AI coding assistants (e.g., Claude Code, Codex, Gemini CLI) to accelerate development, sharpen code quality, and focus our energy on higher-impact engineering work. 

About the Role 

As a Software Engineer at Dice, you’ll contribute to the design, development, and delivery of high-impact product features in a modern, cloud-native stack. As a Software Engineer, you’ll be expected to provide technical support within the team by adhering to architectural decisions, working collaboratively teammates, and helping maintain a high standard of quality and maintainability. You’ll contribute cross-functionally with Product, Design, and Data partners to achieve ongoing outcomes and implement sound technical solutions.  

Being AI-native is central to how we work. We expect engineers in this role to go beyond using AI as a simple chat assistant, embracing tools like Claude Code as core parts of the development workflow to increase productivity such as automating repetitive tasks by generating skills and leveraging subagents, and apply best practices through prompt engineering to get the most out of the AI tools we use at every stage of the software lifecycle.  

Why We’re Hiring for This Role 

As we scale and modernize our platform, we’re looking for engineers who can take ownership of complex systems, communicate effectively with collaborators and team members, deploy AI-powered features, and contribute to product and architectural decisions. This role is ideal for someone who enjoys working across the stack, solving real user problems, working with AI, and influencing both code and culture. 

In the Short Term, You Will: 

Ramp Up on Systems and Codebases 

Gain familiarity with our applications, services, tools, and infrastructure. Develop an understanding of how your team’s work fits into the broader product and architecture. 

Establish Technical Ownership 

Take responsibility for features and systems, provide thoughtful code reviews, and contribute to team design discussions. You’ll be trusted to make solid technical decisions and defend them clearly when needed while staying open to feedback. 

Collaborate and Align 

Work closely with engineers, product managers, designers, and stakeholders to align on priorities and deliver incremental value. Help improve the team's planning and execution rhythm. 

In the Long Term, You Will: 

Drive Technical Excellence 

Help evolve our systems through well-designed, scalable AI architecture. Reduce tech debt, improve performance, and contribute to shared engineering standards. 

Deliver Meaningful Business Impact 

Own end-to-end delivery of product features that support business goals and enhance user experience. Influence the roadmap by advocating for technical investments that align with long-term value. 

What You Bring to the Team: 

• Proven experience building and deploying production-grade applications with a track record of delivering value through practical, maintainable solutions 

• Strong technical skills and experience in cloud-based technologies 

• Exposure to the development and deployment of ML and AI features into a Production environment. 

• Ability to navigate ambiguity, make sound decisions, and adapt to changing priorities 

• A collaborative, team-first mindset — you know the best outcomes come from working well together, and you actively contribute to a supportive, inclusive team environment 

• Technical depth and experience that allows you to contribute to design discussions, assist in breaking down complex tasks into meaningful deliverables, and ensure a high standard of engineering quality 

• A sense of urgency, accountability, and ownership, you take pride in your work and team achievements. 
• Strong communication, problem-solving, and collaboration skills, with the confidence to advocate for ideas while being open to alternative perspectives 

Required: 

• Proven experience building and maintaining business-critical applications using Node.js and TypeScript in a production setting 

• Hands-on experience developing scalable, maintainable RESTful APIs in production environments 

• Experience with front-end frameworks such as NextJS or React 

• Demonstrated experience building highly available applications on AWS infrastructure 

• Experience implementing and working with CI/CD pipelines to support automated testing and deployments 

• Ability to apply quality best practices and implement automated testing using tools such as Playwright 

• Solid understanding of architectural patterns (event-driven, serverless, SOA, and others) 

• Practical understanding of how to implement traditional Machine Learning models and LLMs in production, including knowledge of model selection criteria and architectural trade-offs 

• Familiarity with AI/ML tooling such as LangChain, LangGraph, LangSmith, Vercel AI SDK, LiteLLM,or equivalent frameworks 

• Hands-on experience deploying LLM-powered features into production, such as simple LLM API calls, RAG (Retrieval-Augmented Generation) systems, Vector Stores, and MCP Servers 
• Familiarity with LLM guardrails and safeguards, monitoring, and observability practices for production AI systems 

Preferred: 

• Understanding of different programming paradigms such as OOP and Functional 

• Experience with highly available, highly scalable SaaS applications 

• Working knowledge of logging and observability best practices 

• Familiarity with DevOps principles and the ability to work closely with platform teams 

• Knowledge of performance tuning, cost optimization, or scalability in a cloud-native environment 

• Comfort navigating ambiguity to define and implement technical solutions 

• Experience collaborating with cross-functional partners (Product, Design, Data) 

• Familiarity with GraphQL APIs 

• Working knowledge of container-based technologies (Docker, Fargate, Kubernetes, or other) 

• Experience working as an AI-native engineer — including creating agent skill files, configuring and orchestrating subagents, or building custom AI tooling to accelerate engineering workflows 

About the team:

At Dice, we believe that delivering an exceptional candidate experience is essential to the success of our platform.  As an engineering leader you will utilize your personal and professional knowledge and experience to lead a team of software engineers in both front and back-end application development.  This team currently plays a crucial role in developing Dice’s next-gen experiences.

About the role:

As a hands-on Engineering Manager at Dice, you will lead a team of skilled engineers working across a modern full-stack environment to deliver high-impact product enhancements that support thousands of job seekers and recriters. You’ll collaborate with product, design, and data partners to ensure alignment on goals and outcomes, maintain a high bar for technical quality, and drive continuous improvement. The Engineering Manager is responsible for investing in the growth, development, and success of their team by supporting their career progression through regular coaching, feedback, and opportunities for advancement.

Why we’re hiring for this role:

At Dice we recognize that strong engineering leadership is fundamental to building high-performing teams. As a hands-on technical leader, you'll play a key role in shaping both the user experience and the engineering culture.

In the short term you will:

Build Technical Context and System Knowledge

Become familiar with the codebases, architecture, infrastructure, and development workflows. While you typically won’t be in the critical path for delivery, you’re expected to contribute meaningfully to technical discussions and architectural decisions, review code, and understand the tradeoffs your team faces. This fluency is essential to earning trust and effectively guiding the team.

Understanding the Team, Product, and Engineering Culture

Begin building relationships with your team through one-on-ones and hands-on collaboration. Learn the product's purpose, user base, and how your team’s work fits into the broader platform. Participate in team rituals and begin to assess team strengths and growth areas.

Establish Technical Leadership

Take ownership of the roadmap and begin identifying opportunities for long-term improvement in architecture, team capabilities, and development practices.

In the long term you will:

Build and Empower a High-Performing Team

Develop a team culture of shared ownership, open communication, accountability and innovation. Mentor engineers, support their career growth, close skill gaps, and ensure the team can operate with autonomy and clarity.

Drive Technical Excellence and Scalable Practices

Continually raise the technical bar through code reviews, architectural improvements, reduced technical debt, and strong engineering practices. Ensure production systems are reliable, maintainable, supportable, and scalable.

Deliver Business Impact Through Execution and Collaboration

Establish predictable delivery, aligning closely with cross-functional partners, and ensure the team consistently ships meaningful outcomes. Own and influence roadmap decisions, advocate for smart trade-offs, and contribute to broader organizational goals.

What you bring to the team:

• Hands-on experience building and deploying production-grade applications with a proven track record of rapid delivery and practical implementation
• Strong technical skills using cloud-based technologies.
• In-depth knowledge of agile methodologies, and best practices to guide and enable the team.
• Demonstrated ability to navigate ambiguous situations, make informed decisions, and adapt based on feedback.
• Proven ability to balance the benefits and costs of simple versus complex solutions, ensuring outcomes align with project and organizational goals.
• Ability to bridge the gap between technical teams and stakeholders, ensuring clear communication of complex data concepts and project goals.
• Excellent communication and collaboration skills with the ability to make pragmatic technical decisions while growing a culture of continuous improvement and delivery.
• Technical depth and credibility to engage with the team’s work, whether to unblock progress, offer hands-on support, or hold individuals accountable to high engineering standards.

Required:

• Proven ability to lead teams in building and maintaining business-critical applications across the stack, including enterprise Next.js and React frontends and Node.js/TypeScript services.
• Experience guiding the development of scalable, maintainable, RESTful and GraphQL services in production environments
• Working knowledge of container-based technologies (Docker, Fargate, Kubernetes, or other)
• Solid understanding of architectural patterns (event-driven, serverless, SOA, and others)
• Demonstrated ability to lead teams designing and operating modern web authentication and authorization systems.
• Knowledge of quality best practices and automated testing tools such as Playwright
• Proven experience leading in an Agile environment
• Strong communication, problem-solving, organization skills and attention to detail
• Demonstrated ability to build a high-performing team, including addressing underperformance with empathy, and accountability
• Experience developing team members through regular 1:1s, coaching, and feedback, with a focus on growth and engagement   

Preferred:

• Working knowledge of implementing and operating Stripe-based payment flows or other payment processing, including product configuration, pricing models, and integration with application services.
• Identity and Access Management (IAM, Authentication & Authorization) is highly preferred.
• Experience with highly available, highly scalable SaaS applications
• Working knowledge of logging and observability best practices
• Familiarity with DevOps principles and the ability to work closely with platform teams
• Knowledge of performance tuning, cost optimization, or scalability in a cloud-native environment
• Comfort navigating ambiguity and contributing to shaping roadmaps and priorities
• Experience collaborating with cross-functional partners (Product, Design, Data)

NOTE: This job description is not intended to be an all-inclusive list of the duties and responsibilities of the job described, nor are they intended to be such a listing of the skills and abilities required to do the job. Rather, they are intended only to describe the general nature of the job as of the date this job description was prepared. Management reserves the right to modify this job in order to meet business needs. 

Who we are:

At Focused, we move quickly to deliver quality software that achieves client outcomes and meets their customer’s needs. We strategically partner with our clients to leverage our expertise in design and software, while our clients bring their own domain expertise. We work with a variety of clients from different industries, collaborating as we get new products to market, modernizing legacy systems, or helping teams learn the skills they need to be successful.   

Our values:

• Listen first • We are experts in product practices but life long learners in the domain of our customers. We research, collaborate, and understand. 
• Learn why • We ask questions and talk to users to understand problem spaces, objectives, and goals, which allows us to deeply invest and drive towards the outcomes of our clients. 
• Love your craft • We love diving into a variety of domains and solving problems.  We take pride in delivering value, in communicating progress, and guiding our clients to success.

At Focused, our Engineers are both practitioners and experts in their craft. This role would play a crucial role in shaping and implementing engineering best practices and ensuring the successful delivery of complex software projects. With clients, we develop trust and influence - we are unintimidated and unintimidating. With colleagues, we set the standard for how we deliver success for clients.

What would you be doing?

• Build AI-enabled applications leveraging LangChain and LLMs to deliver meaningful, production-ready outcomes for clients.
• Deep expertise in LangChain, LangGraph and LangSmith
• Lead teams through end-to-end delivery across the stack, from backend services to modern web UIs.
• Pair program daily with teammates and clients to share knowledge, improve code quality, and grow together.
• Practice TDD and continuous refactoring to ensure code is reliable, maintainable, and understandable.
• Guide architecture decisions to support scalability, observability, and performance.
• Collaborate closely with designers, product managers, and stakeholders to continuously deliver valuable software.
• Coach developers on the team through pairing, mentoring, and modeling healthy engineering culture.
• Influence technical direction beyond the team, working across client orgs and Focused’s internal practices to share lessons, shape approaches, and raise the collective bar.
• Stay curious through experimenting with new patterns in the GenAI space, share what works (and what doesn’t), and help evolve how we build AI-powered software.

We are excited about you, because you:

• You’re a hands-on, full stack engineer with a strong track record of delivering software in collaborative, agile environments.
• You’ve worked with LangChain (or similar agentic frameworks), and understand how to architect AI-native systems responsibly and effectively.
• You have experience leading engineering teams and feel confident mentoring and supporting other developers.
• You believe that code quality matters, and that TDD and pairing help build better systems and stronger teams.
• You’ve worked across multiple languages or frameworks (e.g., Python, Node, Java, React, Next.js) and are pragmatic about tool selection.
• You’re excited about what’s happening in the AI space but stay focused on delivering value.
• You have experience navigating complex organizations, building bridges across functions, and helping teams adopt modern development practices.
• You’re as comfortable in the code as you are in a client meeting and can translate technical risks and wins into language anyone can understand.
• You love to share what you’re learning and make the team around you better.

If you had worked at Focused over the last 3 months you may have:

• Paired with a teammate to build a document Q&A system using LangChain and OpenAI APIs
• Helped design an architecture that integrates LLM agents into a legacy enterprise workflow
• Refactored a flaky test suite to support continuous delivery with confidence
• Mentored a junior dev through their first pairing and TDD session
• Built and deployed a full stack GenAI MVP with a React frontend and FastAPI backend
• Facilitated an architecture spike to evaluate vector database options for semantic search
• Contributed a new section to our internal AI playbook
• Helped write this job req

What to know before you apply: 

• This role will require being in the Chicago office three days per week and up to 20% travel within the United States.
• Focused is unable to sponsor or take over sponsorship of the employment Visa process at this time.
• The Chicago base salary range for this role is $175,000 - $250,000.

Who we are:

At Focused, we move quickly to deliver quality software that achieves client outcomes and meets their customer’s needs. We strategically partner with our clients to leverage our expertise in design and software, while our clients bring their own domain expertise. We work with a variety of clients from different industries, collaborating as we get new products to market, modernizing legacy systems, or helping teams learn the skills they need to be successful.   

Our values:

• Listen first • We are experts in product practices but life long learners in the domain of our customers. We research, collaborate, and understand. 
• Learn why • We ask questions and talk to users to understand problem spaces, objectives, and goals, which allows us to deeply invest and drive towards the outcomes of our clients. 
• Love your craft • We love diving into a variety of domains and solving problems.  We take pride in delivering value, in communicating progress, and guiding our clients to success.

At Focused, our Engineers are both practitioners and experts in their craft. This role would play a crucial role in shaping and implementing engineering best practices and ensuring the successful delivery of complex software projects. With clients, we develop trust and influence - we are unintimidated and unintimidating. With colleagues, we set the standard for how we deliver success for clients.

What would you be doing?

• Build AI-enabled applications leveraging LangChain and LLMs to deliver meaningful, production-ready outcomes for clients.
• Deep expertise in LangChain, LangGraph and LangSmith
• Lead teams through end-to-end delivery across the stack, from backend services to modern web UIs.
• Pair program daily with teammates and clients to share knowledge, improve code quality, and grow together.
• Practice TDD and continuous refactoring to ensure code is reliable, maintainable, and understandable.
• Guide architecture decisions to support scalability, observability, and performance.
• Collaborate closely with designers, product managers, and stakeholders to continuously deliver valuable software.
• Coach developers on the team through pairing, mentoring, and modeling healthy engineering culture.
• Influence technical direction beyond the team, working across client orgs and Focused’s internal practices to share lessons, shape approaches, and raise the collective bar.
• Stay curious through experimenting with new patterns in the GenAI space, share what works (and what doesn’t), and help evolve how we build AI-powered software.

We are excited about you, because you:

• You’re a hands-on, full stack engineer with a strong track record of delivering software in collaborative, agile environments.
• You’ve worked with LangChain (or similar agentic frameworks), and understand how to architect AI-native systems responsibly and effectively.
• You have experience leading engineering teams and feel confident mentoring and supporting other developers.
• You believe that code quality matters, and that TDD and pairing help build better systems and stronger teams.
• You’ve worked across multiple languages or frameworks (e.g., Python, Node, Java, React, Next.js) and are pragmatic about tool selection.
• You’re excited about what’s happening in the AI space but stay focused on delivering value.
• You have experience navigating complex organizations, building bridges across functions, and helping teams adopt modern development practices.
• You’re as comfortable in the code as you are in a client meeting and can translate technical risks and wins into language anyone can understand.
• You love to share what you’re learning and make the team around you better.

If you had worked at Focused over the last 3 months you may have:

• Paired with a teammate to build a document Q&A system using LangChain and OpenAI APIs
• Helped design an architecture that integrates LLM agents into a legacy enterprise workflow
• Refactored a flaky test suite to support continuous delivery with confidence
• Mentored a junior dev through their first pairing and TDD session
• Built and deployed a full stack GenAI MVP with a React frontend and FastAPI backend
• Facilitated an architecture spike to evaluate vector database options for semantic search
• Contributed a new section to our internal AI playbook
• Helped write this job req

What to know before you apply: 

• This role will require being in the Denver office three days per week and up to 20% travel within the United States.
• Focused is unable to sponsor or take over sponsorship of the employment Visa process at this time.
• The Denver base salary range for this role is $175,000 - $250,000.