The Role

We are looking for an elite engineer who builds like a hacker and communicates like a consultant. You will not just be building models in a notebook; you will be deployed to the front lines to build, architect, and ship end-to-end Agentic AI products directly for our most strategic customers.

This is a high-stakes role. You will face "tricky" customers who have vague requirements and high expectations. Your job is to translate their chaos into technical order, write production-grade code, and deploy autonomous agents that solve their actual business problems.

What You Will Do

• Build & Deploy (60%):

Design and ship full-stack AI applications. You own the pipeline from data ingestion to the LLM inference layer to the frontend interface.

Architect autonomous agentic workflows (using frameworks like LangChain, LangGraph, or custom implementations) that can reason, plan, and execute complex tasks.

Write robust, clean, and highly testable code (Python/Typescript). "It works on my machine" is not acceptable; it must work in the customer's restricted cloud environment.

Handle DevOps and MLOps constraints: Dockerizing agents, managing Kubernetes clusters, and optimizing inference latency.

• Customer Engineering (40%):

Serve as the technical face of the company for our most demanding accounts.

Navigate complex stakeholder environments. You will push back on unrealistic demands, clarify ambiguous requirements, and steer "tricky" customers toward technically feasible solutions without breaking rapport.

Translate technical constraints into business value for non-technical executives.

Generate high-quality data for our customers and ability to review the data generated by other experts. This is one of the most critical aspects of the role.

The "Must-Haves"

• Experience: 8–12 years of total engineering experience. You started as a strong Software Engineer and evolved into an AI specialist.
• Education: B.S./M.S. in Computer Science, Math, or Physics from a top-tier institution (IIT, MIT, Stanford, Harvard, Berkeley, CMU, or similar global top-ranking universities).
• Deep AI Fluency: You aren't just calling APIs. You understand RAG implementation nuances, vector database optimization, fine-tuning (LoRA/PEFT), and the architecture of agentic loops.
• Production Engineering: Experience with end-to-end deployment (AWS/GCP/Azure, CI/CD pipelines, Terraform, Docker).

The "Why You" (Soft Skills)

• Thick Skin & High EQ: You don't get flustered when a customer changes their mind for the third time in a week. You can hold your ground with a CTO and explain "why not" to a CEO.
• Extreme Attention to Detail: You catch the edge cases that others miss. You obsess over error handling, retry logic in agents, and data privacy.
• Grit: You enjoy the "messy" work of integrating legacy enterprise data just as much as prompting the latest model.

What will set you apart

• Public Code: A visible GitHub footprint is very helpful. We want to see your side projects, your contributions to open source, or your experiments with LLMs. Please include your GitHub link in your application.

Tech Stack

• Languages: Python (Expert).
• AI/Data (Expertise in all is not required): PyTorch, LangChain, LlamaIndex, Pinecone/Weaviate, OpenAI/Anthropic APIs, HuggingFace.
• Infra (Expertise in all is not required): Kubernetes, Terraform, AWS/GCP.

Your Role

We’re looking for an Engineering Manager to join our first product teams in Mumbai. You’ll be improving the operations of our internal team of sports analysts across Hudl Assist, Wyscout, InStat and Volleymetrics products. These products are used by thousands of teams around the world, from youth clubs to the pros. 

Example projects might include:

• Improving the tools used to deliver training to sports analysts
• Instrumenting our processes to facilitate continuous improvement for our operations team
• Iterating on manual data collection workflows to improve speed and accuracy
• Automating workflows using AI/ML, reducing manual effort, and improving scalability of our data pipelines

As an Engineering Manager, you’ll

• Be responsible for a diverse team. You’ll support your Engineers as they develop, test and maintain technical solutions. You’ll be a working manager, expected to balance management responsibilities with code contributions to ensure the team meets its commitments and delivers business impact.
• Work with a cross-functional team. You’ll collaborate with Engineering, Quality Assurance, Product, Design and Scrum disciplines to deliver product improvements for our customers. With our global team, these team members and stakeholders are located all over the world—so you may need to work evenings occasionally.
• Help improve analysis. You’ll work to improve training tools, processes and manual data collection workflows used by our sports analysts to improve their speed and accuracy.
• Automation & AI/ML. You’ll also play a key role in evolving our workflows through automation and AI/ML, helping reduce manual effort and improve scalability across our operations"

This role requires 4 days in the office per week, so we're currently considering candidates who live within a commuting distance of our offices in Mumbai.

Must-Haves

• Formal management experience. You have multiple years of experience managing Software Engineers and know how to guide teams to deliver business impact. You’ve taken the lead on tackling ambiguous technical challenges, proposing solutions to upcoming problems, and providing technical input on others’ work.
• Experience in mature, full-stack web applications. You’ve spent several years in a role, or roles, that had you building across all levels of a web application, from the client-side code, all the way down to the database. You have a professional background in TypeScript, React, GraphQL, C#, Java, PHP, MongoDB, MySQL and/or AWS
• English language proficiency. You have strong verbal and written communication skills. 
• Flexible schedule. We strive to maintain a healthy work-life balance, but in this role, it’s necessary to overlap your schedule with stakeholders and collaborators across time zones.

 Nice-to-Haves

• Experience working with AI/ML systems, particularly in applying models to automate workflows or process large datasets

Our Role

• Champion work-life harmony. We'll give you the flexibility you need in your work life (e.g., national and public holidays and timeout (meeting-free) days) so you can enjoy your personal life too.
• Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you'll own your work and have the agency to try new ideas.
• Encourage career growth. We're lifelong learners who encourage professional development. We'll give you tons of resources and opportunities to keep growing.
• Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. We'll also provide you the tech stack and hardware to do your best work.
• Cover your medical insurance. Comprehensive medical insurance for employees, with partial reimbursement available for dependent coverage.
• Retiral benefits. We offer a Provident Fund and Gratuity.

About the Role

This is not a traditional engineering role. This is a seat at the table.

You will work directly with Prodigal's CTO across the full breadth of building a frontier AI company — technical roadmap, AI projects, customer conversations, GTM collaboration, hiring, and everything in between. Think of it as an accelerated apprenticeship for a future CTO or technical founder. You will be handed ambiguity, context, and trust — and expected to run with it. Over one year, you will touch more dimensions of company building than most engineers see in a decade.

We are looking for someone in explore mode — technically sharp, intellectually restless, and hungry to understand how great companies are built from the inside.

What You'll Own

AI Projects & Technical Execution

• Lead high-priority AI projects end-to-end — voice AI, LLM reasoning, evaluation frameworks, and agentic systems — from research to production
• Work hands-on with frontier models, prompt engineering, real-time voice pipelines, and PIE, Prodigal's Intelligence Engine powering millions of live consumer finance conversations
• Evaluate emerging AI capabilities and support pragmatic build-vs-integrate decisions alongside the CTO

Strategy, Customers & GTM

• Participate in roadmap discussions, competitive analysis, and translating customer insights into engineering direction
• Join customer conversations and escalations; collaborate with Sales, Marketing, and Customer Success on technical enablement and thought leadership that represents Prodigal at the cutting edge

Hiring, Culture & Operations

• Participate in recruiting — evaluating submissions, interviewing, building assessment frameworks — particularly for campus hiring from premier institutions
• Be a sounding board for architectural decisions, tradeoffs, and team dynamics; help identify gaps before they become problems

What You Bring

• Strong CS fundamentals with hands-on Python and/or TypeScript — you write clean, production-ready code
• 0 to 5 years of experience; in explore mode, not exploit mode — still building, still hungry, not optimizing a narrow lane
• Genuine curiosity about AI — you read papers, build side projects, and form opinions about where the technology is heading
• High bias for action, comfort with ambiguity, and clear communication across engineers, customers, and executives
• A builder's mentality — you've made things that required sustained effort to bring into existence

Even Better

• Hands-on experience with LLMs — prompt engineering, evaluation, fine-tuning, or building LLM-powered applications
• Exposure to voice AI, real-time systems, or agentic architectures
• Considering a Masters in CS or AI, or recently completed one

Why This Role

Compounding Learning at an Uncommon Pace

Most early-career engineers spend years getting depth in one domain. This role gives you breadth and depth simultaneously — AI, product, customers, hiring, company building — all in one year, directly alongside a technical co-founder.

Proximity to the Frontier

Voice AI that reasons, decides, and acts in real-time financial conversations is one of the hardest applied AI problems being worked on right now. You will be building it, not reading about it.

A Blueprint for What You Want to Become

Whether you want to be a CTO, a technical founder, or a world-class AI researcher — this role is designed to accelerate that path. Real ownership, real stakes, increasing responsibility as you demonstrate it.

Job Benefits: 

• World-class team - You'll get the chance to learn from (and teach) some of the brightest and most skilled people you'll ever meet. Our team members have been part of BCG, Deloitte, EY, Blackstone, Meta, Amazon and are IIT, IIM, BITS alumnus.
• Continuous education - As relentless seekers of knowledge, we sponsor and support any training materials, books, courses, and exam fees for upskilling yourself in areas related to your role - but that's not where it ends. If you make a good case for some extra learning, we're delighted to foot the tab.
• Food at the office – Meals are on us. We won't let your stomach grumble while you hustle.
• Health insurance - Health always comes first. The health of your family is as important to us, as it is to you. We offer insurance coverage for both you and your family.
• Flexible schedule - We're not a "clock in, clock out" company. Morning person? Start work while the world's still sleeping. Night owl? Ramp things up while others are winding down. You're fully trusted to create the right conditions for your own personal peak productivity. We only ask that you be available to your teammates for seamless collaboration.
• Generous leave policy - Take all the time you need to recharge your batteries - no cap on vacation allowance here. Because a rested, relaxed, and refreshed mind is a happy and effective mind.
• Recreation & team activities – We regularly indulge in friendly football, table tennis, cooking sessions and challenge each other to do those extra push ups or chug that 4^th drink (of course that’s Nimbu Pani)

Meet Sangram - (Cofounder and CTO) and hear his vision for Prodigal below (01:38)

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Actively ship production code to the web products
• Work closely with your dedicated product team
• Participate in product discussions to shape the product roadmap
• Have the opportunity to work on new and exciting features that will impact millions of lives

An Ideal Candidate Should Have

• Experience. You've built and ship products that have scaled to thousands or millions of users
• Customer obsession. You are passionate about the field and have the desire to build high quality product that serves customer needs
• Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
• Tech Stack: Vanilla JS, ReactJS, Redux, Firebase, Typescript

What We Offer

• A fast-growing environment where you can help shape the culture
• An entrepreneurial crew that supports risk, intuition, and hustle
• A hands-off approach so you can focus and do your best work
• The opportunity to make an impact in a transformative industry
• A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Role Overview

We are looking for domain-first, systems-oriented engineers who understand how real-world systems (in renewable energy, automotive, manufacturing, IoT, etc.) generate and use data — and can translate that into meaningful AI-driven workflows using DevRev.

As a Solutions Engineer, you will act as a trusted advisor, combining domain expertise, engineering depth, and problem-solving to help customers unlock value from their data through DevRev’s AI platform.

You will work closely with Sales, Product, and Engineering to design solutions that go beyond demos — enabling real-world automation, intelligence, and agentic workflows.

Key Responsibilities

• Partner with customers to deeply understand domain workflows, systems, and data flows (e.g., connected vehicles, factory systems, IoT environments)
• Translate real-world signals (sensor data, logs, events) into insights, workflows, and automated actions
• Build and showcase AI-driven workflows, automations, and agentic use cases
• Design and articulate end-to-end solutions (data ingestion → processing → decision → action)
• Act as a technical advisor, guiding customers on how DevRev can integrate into and enhance their existing systems
• Deliver tailored demos, PoCs, and solution walkthroughs grounded in real-world use cases (not generic SaaS demos)
• Support integrations with external systems via APIs, webhooks, and data pipelines
• Contribute to technical proposals, RFP/RFI responses, and solution architectures
• Stay current on industry trends (renewable energy, automotive, manufacturing, IoT, AI) and bring insights into customer conversations

Qualifications & Skills

Domain Expertise 

• Experience in renewable energy, automotive, manufacturing, industrial systems, or IoT environments
• Strong understanding of:
• Connected systems (vehicles, machines, robotics, embedded systems)
• Sensor ecosystems (CAN, telemetry, vision systems, IoT devices)
• Real-world data (signals, logs, time-series)
• Familiarity with manufacturing workflows (inspection, defect detection, production cycles).
• Ability to explain data flow from system → processing → business outcomes

Engineering Depth

• Strong system-level thinking
• Experience with:
• Data pipelines, APIs, integrations, distributed systems
• Experience in Python / TypeScript / JavaScript (or similar)
• Understanding of system design, reliability, and failure handling
• Exposure to AI/ML in industrial use cases (vision systems, predictive maintenance, log-stream analysis, etc.)

Problem Solving & Use Case Thinking

• Ability to translate data → insights → workflows → actions
• Experience designing end-to-end systems
• Strong analytical mindset to identify automation opportunities from real-world signals

AI & Tools

• Exposure to LLMs, RAG, AI agents
• Familiarity with prompt design and AI workflows
• Tools: Postman, GitHub, Jira, Cursor, Claude Code

AI Systems Engineer
Reporting to: Lead AI & Platform Engineer
Company: Kulfi Collective
Location: Mumbai (Hybrid)

About the role

Kulfi Collective operates at the intersection of creativity and technology, working with global brands like Spotify, Meta AI, Duolingo, and more. We’re not experimenting with AI - we’re already running agentic systems used daily by teams and clients. 

Now we’re looking for a first-principles engineer to help scale what we’ve built:

• Backend systems powering AI agents
• Workflow orchestration
• Data connectors and database architecture
• Infrastructure that holds it all together

As part of the tech team, you’ll build AI-powered products and workflows focussed on transforming creative and marketing processes. You’ll develop innovative digital products and AI-driven market intelligence and automation platforms.

You’ll write code alongside AI coding assistants as a primary development tool and build systems designed for other AI agents to consume.

A day in the life of an AI Systems Engineer 

• Build agent workflows that handle failure, retries, and real-world messiness
• Design data connectors that let agents safely discover and query brand intelligence.
• Write clean, self-explanatory schemas and data migrations (readable by humans and machines)
• Instrument everything: LLM calls and agent runs, structured traces, eval harnesses, cost and latency budgets
• Maintain and improve CI/CD pipelines, containerised deployments, and observability across managed and self-hosted infrastructure
• Work within enforced-quality frameworks: automated development and infra workflows. The machines enforce the standards. You build things
• Use AI coding assistants (e.g. Cursor, Claude Code, Codex) daily as primary development tools, not supplements
• Mentor junior engineers and help establish coding and documentation best practices
• Raise the bar on code + thinking

What are we looking for:

• 2–3 years of experience building backend systems that have actually gone live
• Strong Python/TypeScript skills (async, type hints, modern tooling)
• You write code that is clear, structured, and interpretable, by humans and AI
• Database fluency: schema design, migrations, query optimisation
• Infrastructure comfort: Docker, containers, CI/CD, debugging production systems
• Sharp eye for detail: you catch inconsistent column names, misleading error messages, and subtle bugs during review
• AI assistant fluency: hands-on experience building with tools like Claude Code, Cursor, etc., with clear judgment on when to trust outputs vs rely on core engineering thinking
• Bonus if you've worked on: Agent systems / workflow orchestration, building agents (including browser agents), data architectures for programmatic use, observability (structured logs, tracing, metrics), and self-hosted or custom infra setups

Why join us?

• Direct learnings from a lean engineering team that has designed and built agentic systems
• Access to a mature governance framework and methodology that lets a small team ship with disproportionate output
• Hands-on experience building agent-first infrastructure where AI is the operating model, not a feature
• Work on projects that blend creativity, culture, and code, impacting the biggest brands in India and globally
• The domain is learnable. We'll teach it. You bring the craft

Location: Sion, Mumbai, IN 
Type: Fulltime 
Work Hours: Mon–Fri, 11:00 AM – 8:00 PM 
Reports To: Engineering Manager 

About Decisions + Process Maker 

Decisions + ProcessMaker is a fast‑growing technology company reshaping how organizations automate processes and make smarter, faster business decisions. Our platform brings together workflow automation, rule engines, AI‑powered decisioning, and no‑code/low‑code tools to help enterprises modernize efficiently and at scale. 

We are seeking a skilled Full Stack Developer (Python / React / TypeScript) to join our team and contribute to the development of our Process Intelligence Platform. This role is more front-end-focused, with significant ownership in the evolution of our dashboard and user-facing features built with React and TypeScript. In addition to frontend development, you will also design and develop backend services in Python as part of a fully remote, English-speaking team. 

Key Responsibilities:  

• Take ownership of the development and evolution of the Process Intelligence dashboard and user-facing features built with React and TypeScript. 

• Design and implement scalable, maintainable frontend architecture with a strong focus on performance and data visualization. 

• Develop and maintain backend services in Python to support analytics, APIs, and data processing needs. 

• Implement and integrate APIs between frontend and backend services, ensuring reliability and performance. 

• Work with complex event log data and contribute to data transformation and processing pipelines. 

• Optimize system performance and scalability across both frontend and backend components. 

• Collaborate closely with product management, designers, and engineers in a fully remote, English-speaking team. 

• Contribute to continuous improvement of code quality, architecture, and development practices. 

Qualifications:  

• 3+ years of professional experience in TypeScript development / Python (React, Django, Fast API frameworks).  

• Strong experience building complex React/TypeScript enterprise applications using Redux Toolkit, RTK Query, and Tailwind CSS, with a focus on data visualization and scalable component architecture. 

• Proficient in modern Python (3.10+) with strong experience in async programming, type annotations, Pydantic data modeling, and building data transformation pipelines. 

• Bachelor's Degree in computer science, information systems, engineering, or math. 

• Strong communication skills in English. 

• Strong understanding of SDLC methodologies.  

• Ability to manage workloads and conflicting priorities effectively, work both independently and collaboratively, and consistently meet firm deadlines.  

Preferred Qualifications 

• Experience working within cloud vendors (Azure/AWS) and MongoBD atlas. 

• Experience with Chart.js (or similar libraries) for complex data visualizations. 

• Experience in Task and Process Mining technologies. 

• Experience in understanding of workflow technology and process automation methods, and best practices. 

In India, we have our teams based in Pune, Mumbai, Delhi and, Bangalore. We pride ourselves on being client-focused and collaborative, on the pioneering edge of technology. We also have fun. Whether it’s office happy hours, team outings, or game nights, we believe in working with people we like to hang out with.

Ideal candidate traits

If you identify as a team player and you are humble, hungry, and smart — we would love to get to know you. We believe these qualities to be vital to building a strong, productive, and collaborative work environment, where everyone is committed to achieving common goals and working towards shared success.

We are looking for people who are willing to learn from others, who can put their egos aside and prioritise the needs of the team. You should also be highly motivated, driven to succeed, and always looking for ways to improve. We value emotional intelligence, excellent communication skills, and a collaborative spirit that enables them to build strong relationships with teammates and work effectively towards shared goals.

At AlphaSense we are committed to fostering a work culture that encourages these qualities and values the contributions of team players who exhibit them. We seek to match the ambition of ideal team players by offering opportunities for personal and professional growth, providing the resources and support necessary to achieve their goals, and creating an environment where hard work, dedication, and teamwork are celebrated and rewarded. At AlphaSense we are building teams of ideal players who embody the core values of Sisu, driving the company’s success and helping us to create a positive impact on the world.

Technologies that we work with:

Frontend

ReactJS, TypeScript, Micro Frontends

Applications

NodeJS, TypeScript, GraphQL, Java 17, Spring Boot, Python, FastAPI

Backend

Java 17, Spring Boot, Python, FastAPI, Kafka

Search and AI

Apache Solr, Elasticsearch, Vector Search, ML, LLM, Pytorch, Tensorflow

Cloud architecture

AWS, GCP, Kubernetes, Crossplane, Argo CD

Quality & reliability

Cypress, Selenium, Selenide, Playwright, Rest Assured, K6, Prometheus, Loki, Grafana

Ready to Make an Impact?

Join our talent community, hear about exciting career opportunities, and get tailored job recommendations based on your interests.

If you’re looking for a challenge, if you love finding things that need interesting solutions, AlphaSense is a great place to come. It is a place for builders, for people who want to create the next thing.

Want to hear more?

Contact us and let’s figure out together if we can find a common path. Tell us about yourself and your background in your own words.