Staff / Senior Applied Scientist, GenAI & ML Systems

Location: Wilmington, MA (US) - Fulltime Onsite 

About the Role

We are hiring a Staff / Senior Applied Scientist to lead the design and deployment of production-grade GenAI and ML systems with a strong emphasis on being hands-on. You will personally build, iterate, and ship systems focused on LLM/SLM optimization for agentic, multi-agent architectures in cloud environments.

This role is ideal for someone with deep expertise in one or more areas of LLM/SLM optimization for agent-based systems, and hands-on experience in designing, implementing, and operating large-scale multi-agent systems in the cloud.

Key Responsibilities

• Hands-on ownership of building and shipping multi-agent systems (planner/executor, tool-using agents, supervisor patterns, routing, role-based agents) from prototype to production.

• Write production-quality code for agent orchestration, tool integration, memory/state design, and context management.

• Lead context engineering strategies for multi-agent coordination: prompt design, state persistence, agent handoffs, grounding, constraints, and safety controls.

• Hands-on fine-tune and deploy SLM models for production usage: dataset creation, training workflows, evaluation, and inference serving.

• Build Advanced RAG pipelines end-to-end, including semantic search, embeddings, hybrid retrieval, and cross-encoder reranking.

• Implement evaluation frameworks for multi-agent systems covering quality, latency, cost, robustness, and failure mode detection.

• Collaborate with platform and product engineering to ensure solutions are cloud-native, secure, observable, and scalable (monitoring, logging, CI/CD).

• Optimize for cost and latency via model routing, caching, compression strategies, and inference efficiency improvements.

• Mentor peers through code reviews, architecture sessions, and hands-on technical leadership.

Required Knowledge & Experience

• Context engineering for complex multi-agent systems
  (prompt orchestration, tool calling, memory/state design, routing, constraint handling)

• Fine-tuning of SLMs and delivering them to production
  (training strategies, validation, deployment, monitoring, rollback readiness)

• Experience with Advanced RAG, semantic search, embeddings, and cross-encoders
  (retrieval tuning, chunking strategies, query rewriting/planning, reranking)

• Ability to translate ambiguous requirements into concrete architectures, metrics, and deliverables

• Hands-on inference optimization experience: quantization, distillation, batching, caching, model routing, speculative decoding

• Experience building retrieval systems at scale using vector DBs and search stacks

• Comfort working across the full lifecycle: research → prototype → A/B test → production hardening

Preferred Qualifications

• Familiarity with enterprise constraints: privacy, security, data governance, permissions, auditability

• Experience designing and running GenAI observability: traces, prompt/versioning, tool call logging, feedback loops

• Strong ability to implement production-quality systems in Python (and/or adjacent backend languages)

• Proven experience deploying GenAI/ML systems in cloud environments (AWS/Azure/GCP)

• Experience with scalable inference and service operations: containers, APIs, observability, reliability practices

• MS/PhD in CS/ML/NLP/Stats (or equivalent applied experience building production systems)

Software Engineer III (Java + JavaScript + SQL)

TraceLink is seeking an experienced full time Software Engineer III to join our team to work on our Analytics products. If you’ve got a solid grasp of SQL, Java and Javascript and familiarity of cloud environments like AWS. If you’re highly motivated and looking for a chance to make a real contribution on a high profile project, you could be a good fit for our team.

The Software Engineer III - will be responsible for the design, development and maintenance of cutting edge cloud based Analytics applications, running in our sophisticated, Kubernetes (AWS EKS) hosted, RxJava/Vert.x cloud platform, the Digital Network Platform (OPUS).  All of this within the Life Sciences / Pharma supply chain domain.

Responsibilities:

• Proficiency in Data Structures and Algorithms.

• Develop Analytics solutions that will help clients optimize their supply chain operations and adhere to compliance regulations. 

• Work closely with Domain experts, Data scientists, Architects, Product managers and Product Engineers to design and implement Analytics products.

• As an individual contributor, you will be responsible for writing clean, high performance and scalable code across different frameworks and languages.

• Work in fast paced Agile teams and ability to quickly learn and adapt to new tools and technologies.

• Work with QA teams to align on test planning and help in test executions.

Candidates must possess the following skills and traits: 

• 4 to 6 years of experience with at least 1 year hands on experience with writing SQL queries.

• Expertise in Java & Javascript & SQL.

• Familiarity with AWS Cloud Data storage and processing services - S3, Glue, Athena, Redshift, RDS, Elastic Search, Kafka/Kinesis, SQS, SNS etc.

• Solid understanding of RESTful APIs, Microservices architecture, and containerization (Kubernetes).

• Strong understanding of event-driven architecture and asynchronous messaging

• Exposure to Javascript, GraphQL, Vert.x, Rx/Java would be preferred.

• Analytical thinking and collaborative mindset with excellent communication skills. 

• Experience working in an Agile environment with teams distributed across US and India

• Strong Computer Science fundamentals: Data Structures and Algorithms

Good to have:

• Knowledge and Experience building Agentic AI systems.

• Knowledge and Experience with Prompt/Context Engineering. 

Education:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or or equivalent experience required.

About Tracelink:

Digital information sharing is the future of medicine. TraceLink is building the first-ever cloud-based network and application platform that helps our global customers share crucial business information while collaborating on manufacturing and distributing billions of medical products

worldwide.

Who you are:

TraceLink is looking for talented full-time software engineers to build products at one of the fastest growing companies in the Pune area. If you’re self-motivated, intellectually curious, and motivated by designing and developing innovative products for global organizations, you could be a good fit for our team.

This is an excellent opportunity to learn and/or extend your knowledge in building large-scale multi-agent systems, define effective strategies for evaluating such systems, and gain hands-on experience in creating and testing non-deterministic software components.

Responsibilities :

The Software Development Engineer in Test assists in building and executing automated tests for

the Company's software products. The SDET will build testing tools to enable automated testing of

the TraceLink platform and application.

• Execute tests on the TraceLink platform and application.

• Extend and maintain automation frameworks.

• Prepare and present clear reports on defect findings that allow developers to quickly and accurately reproduce problems and allow the Quality Engineering team to verify that fixes are complete.

• Verify defect fixes.

• Build tooling for automated testing of the TraceLink platform and application.

• Programmatically interface testing tools with the TraceLink platform and application.

• Create testing tools that can be configured and used by non-developers and can simulate real-world transaction volumes involving potentially millions of transactions per day.

• Provide high-level analysis to apply appropriate technologies and architecture to solve conceptual problems

• Research and remain informed of new technology and tools, and how such technologies could be applied at TraceLink.

•  Work closely with engineers building the core TraceLink product to ensure that testability concerns are factored into the design of the product.

Qualifications :

Candidates must possess the following skills and traits:

• Bachelor's degree or foreign equivalent in computer science, software engineering, or related discipline.

• 2-5 years of progressive, post-baccalaureate experience in a test automation engineering role involving programmatic interaction with a system under test.

• 2-5 years of experience utilizing Java, JavaScript/TypeScript, Eclipse, Ant or Maven, Unix, and an automated unit test framework, such as TestNG.

• 2-5 years of experience developing against web services and Web-based APIs.

• 2-5 years of experience developing and executing formal test plans, data sets, and test configurations for assigned feature areas

• 2-5 years of experience testing web-based enterprise-class business applications.Helpful skills and experience:

Helpful skills and experience:

•  Familiarity with the concepts involved in running cloud-based applications on platforms such as Amazon Web Services.

•  Experience with the pharmaceutical industry.

•  Basic understanding of Large Language Models (LLMs) and generative AI systems.

•  Exposure to testing LLM-based applications, including prompt validation and response evaluation.

•  Familiarity with multi-agent LLM workflows and coordination patterns (e.g., agent orchestration, tool usage, chaining).

•  Experience designing test scenarios for AI systems, including edge cases, hallucination detection, and output consistency checks.

•  Knowledge of evaluation metrics for LLM outputs (e.g., accuracy, relevance, latency, and robustness).

•  Exposure to automation frameworks or tools for validating AI/ML model behavior.

About Tracelink:

Digital information sharing is the future of medicine. TraceLink is building the first-ever cloud-based network and application platform that helps our global customers share crucial business information while collaborating on manufacturing and distributing billions of medical products worldwide.

Tracelink is looking for talented full-time software engineers to build products at one of the fastest-growing companies in the Pune area. If you’re self-motivated, intellectually curious, and motivated by designing and developing innovative products for global organizations, you could be a good fit for our team

Who you are:

Tracelink is looking for talented full-time software engineers to build products at one of the fastest-growing

companies in the Pune area. If you’re self-motivated, intellectually curious and motivated by designing and

developing innovative products for global organizations, you could be a good fit for our team.

This is an excellent opportunity to learn and/or extend your knowledge in building large-scale multi-agent systems, define effective strategies for evaluating such systems, and gain hands-on experience in creating and testing non-deterministic software components.

Responsibilities:

The Software Development Engineer in Test assists in building and executing automated tests for the Company's

software products. The SDET will build testing tools to enable automated testing of the TraceLink platform

and application.

• Build and execute tests on the Tracelink platform and application.

• Build and deploy services for automated testing of the Tracelink platform persistent store.

• Execute performance tests on a Distributed Persistent Data store

• Create testing tools that can simulate real-world transaction volumes.

• Provide high-level analysis to apply appropriate technologies and architecture to solve conceptual problems

• Stay curious, build Innovative solution to new age technical issues

• Influence designs and decision with supporting data

• Work closely with engineers building the core Tracelink product to ensure that testability concerns are factored into the design of the product.

• Extend and maintain automation frameworks to enhance Test coverage

• Prepare and present clear reports on defect findings that allow developers to reproduce problems and allow the Quality Engineering team to verify that fixes are complete quickly and accurately.

• Programmatically interface testing tools with the TraceLink platform and application.

• Work closely with engineers building the core TraceLink product to ensure that testability concerns are factored into the design of the product.

• Research and remain informed of new technology and tools, and how such technologies could be applied at Tracelink.

Qualifications:

Candidates must possess the following skills and traits:

• Bachelor's degree or foreign equivalent in computer science, software engineering, mechanical engineering, or related discipline.

• 5-8 years of progressive, post-baccalaureate experience in a test automation engineering role involving programmatic interaction with a system under test.

• Experience utilizing Java, JavaScript/TypeScript, Eclipse, Ant or Maven, Unix, and an automated unit test framework, such as TestNG.

• Experience developing against web services and Web-based APIs.

• Experience developing and executing formal test plans, data sets, and test configurations for assigned feature areas.

Helpful skills and experience:

• Familiarity with the concepts involved in running cloud-based applications on platforms such as Amazon Web Services.

•  Experience with the pharmaceutical industry.

•  Basic understanding of Large Language Models (LLMs) and generative AI systems.

•  Exposure to testing LLM-based applications, including prompt validation and response evaluation.

•  Familiarity with multi-agent LLM workflows and coordination patterns (e.g., agent orchestration, tool usage, chaining).

•  Experience designing test scenarios for AI systems, including edge cases, hallucination detection, and output consistency checks.

•  Knowledge of evaluation metrics for LLM outputs (e.g., accuracy, relevance, latency, and robustness).

•  Exposure to automation frameworks or tools for validating AI/ML model behavior.

About the Role

We are looking for an early-career Agentic AI Engineer to help build and evolve AI-powered systems that automate and improve supply chain workflows. In this role, you’ll work alongside experienced engineers and data scientists to develop agentic AI / GenAI features, integrate knowledge-based retrieval (RAG) patterns, and contribute to testing and validation approaches for AI systems that can behave in non-deterministic ways.

This is a strong opportunity for someone who is eager to grow in both software engineering and applied GenAI, and wants to work on real-world enterprise problems in supply chain and (optionally) life sciences.

Key Responsibilities

• Support the design and implementation of agentic AI / GenAI systems that assist in automating supply chain workflows.

• Build and maintain backend services and integrations using Python and/or Java.

• Contribute to multi-agent workflows, such as tool execution, routing, agent collaboration patterns, and task orchestration.

• Assist in creating testing and validation strategies for AI systems, including evaluation datasets, regression testing, and behavior monitoring.

• Help implement and improve knowledge base systems, including RAG pipelines, grounding strategies, and retrieval quality improvements.

• Contribute to experimentation with:

  • lightweight fine-tuning approaches for small language models (SLMs)

  • reinforcement-learning-inspired improvement loops for NLP/GenAI tasks (where applicable)

• Partner with product and domain teams to understand supply chain needs and translate them into working software.

• Participate in code reviews, documentation, and operational support to ensure high-quality production systems.

Required Qualifications

• Master’s/Bachelors degree in Data Science, Artificial Intelligence, Machine Learning, Computer Science, or a closely related discipline.

• 0–2 years of professional experience in software engineering, AI engineering, or ML engineering (internships and co-ops count) OR equivalent experience

• Strong programming skills in Python and/or Java, including writing production-quality code.

• Familiarity with cloud platforms such as AWS, GCP, or Azure (academic, personal, or internship experience is acceptable).

• Interest or exposure to Generative AI concepts, such as LLMs, agent workflows, tool calling, or multi-step reasoning.

• Understanding of core engineering fundamentals:

  • APIs and services

  • basic distributed systems concepts

  • debugging and performance basics

  • data structures & algorithms

• Ability to learn quickly, take feedback well, and collaborate effectively in a team environment.

Preferred Qualifications

• Coursework, projects, or hands-on experience with agentic or multi-step AI systems, including non-deterministic behavior patterns.

• Exposure to designing knowledge base solutions, such as:

  • Retrieval-Augmented Generation (RAG)

  • embedding-based search

  • hybrid search approaches

  • reranking or relevance evaluation

• Experience or academic background in one of the following:

  • fine-tuning small language models (SLMs)

  • training or adapting NLP models

  • Reinforcement learning concepts applied to language systems

• Exposure to event-driven or reactive systems

• Interest in supply chain domains (logistics, manufacturing, procurement, etc.).

• Knowledge of the life sciences supply chain is a plus, but not required.

What Success Looks Like

• You can take a defined task (e.g., building a new RAG retriever, improving evaluation coverage, or implementing a new agent tool) and deliver a working solution with support from senior engineers.

• You write clean, testable code and steadily improve your ability to debug real-world production issues.

• You contribute to AI system reliability through experiments, evaluation improvements, and thoughtful engineering.

Who You Are

• Curious, motivated, and excited to build AI-driven products that ship to real users.

• Comfortable working with a mix of predictable engineering tasks and emerging AI workflows.

• Strong team player with a growth mindset and a willingness to learn.

The Application Architect is responsible for the design and overseeing the technical implementation of applications built on TraceLink’s Opus Multi-Enterprise cloud-based platform.

 You will:

• Be a thought leader on architecture and design of cloud-based applications that provide mission-critical functionality and support high transaction volume;
• Become a subject matter expert on how to build applications on TraceLink’s  Opus  cloud-based fully distributed architecture;
• Work collaboratively with product management to gain deep insight into business application requirements;
• Provide high-level analysis and write high level designs to apply appropriate Opus Platform technologies to solve business problems; ensure design, structure, and content meet performance guidelines;
• Drive application design emphasizing reliability, scalability, maintainability, and other key ‘ilities’ to deliver resilient and future-ready systems;
• Identify Opus technology/architectural gaps between application needs and platform capability. Work closely with Platform Architects and senior technical leadership to address the gaps;
• Prototype and in some cases implement the underlying code to advance application functionality in advance of or coordination with the development teams;
• Be a role model and mentor for less senior technical contributors

Skills and Requirements:

Candidates must possess the following skills and traits:

• 8 + years software development experience
• Strong experience in software development in Java
• Strong experience in building sophisticated microservice-based applications
• 3+ years hands-on experience in an architect role employing a variety of technologies
• 2+ years experience as a technical lead
• Ability to communicate clearly and effectively, and collaborate with other disciplines
• Solid technical writing skills
• Experience working on enterprise business applications
• Experience in building cloud-based applications on platforms such as Amazon Web Services
• B.Tech/B.E.  or greater in computer science or related area OR equivalent experience
• Experience and interest in working in fast-paced environments
• Experience developing a product in an Agile development environment
• Experience in developing Enterprise Software (e.g. Supply Chain, ERP, Manufacturing)