Join our passionate and dynamic team and be part of a company that is reshaping the supply chain landscape. Explore our current job openings and discover how you can contribute to our mission of ensuring a safer, more connected future.
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
Share this job
Company overview:
TraceLink’s software solutions and Opus Platform help the pharmaceutical industry digitize their supply chain and enable greater compliance, visibility, and decision making. It reduces disruption to the supply of medicines to patients who need them, anywhere in the world.
Founded in 2009 with the simple mission of protecting patients, today Tracelink has 8 offices, over 800 employees and more than 1300 customers in over 60 countries around the world. Our expanding product suite continues to protect patients and now also enhances multi-enterprise collaboration through innovative new applications such as MINT.
Tracelink is recognized as an industry leader by Gartner and IDC, and for having a great company culture by Comparably.
Location: Wilmington, MA (US) - Fulltime Onsite
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.
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.
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
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)
TraceLink is committed to providing competitive compensation and benefits to all employees. This is the estimated base salary range for this role and should serve only as a guide. Final compensation offered may vary based on a variety of factors including but not limited to experience level, fit for the role, skills, domain knowledge, internal equity, budget, and location.
Please see the Tracelink Privacy Policy for more information on how Tracelink processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise your privacy rights. If you have questions about this privacy notice or need to contact us in connection with your personal data, including any requests to exercise your legal rights referred to at the end of this notice, please contact Candidate-Privacy@tracelink.com.
Ready to apply?
Apply to TraceLink, Inc
Share this job
Company overview:
TraceLink’s software solutions and Opus Platform help the pharmaceutical industry digitize their supply chain and enable greater compliance, visibility, and decision making. It reduces disruption to the supply of medicines to patients who need them, anywhere in the world.
Founded in 2009 with the simple mission of protecting patients, today Tracelink has 8 offices, over 800 employees and more than 1300 customers in over 60 countries around the world. Our expanding product suite continues to protect patients and now also enhances multi-enterprise collaboration through innovative new applications such as MINT.
Tracelink is recognized as an industry leader by Gartner and IDC, and for having a great company culture by Comparably.
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.
Please see the Tracelink Privacy Policy for more information on how Tracelink processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise your privacy rights. If you have questions about this privacy notice or need to contact us in connection with your personal data, including any requests to exercise your legal rights referred to at the end of this notice, please contact Candidate-Privacy@tracelink.com.
Ready to apply?
Apply to TraceLink, Inc
Share this job
Company overview:
TraceLink’s software solutions and Opus Platform help the pharmaceutical industry digitize their supply chain and enable greater compliance, visibility, and decision making. It reduces disruption to the supply of medicines to patients who need them, anywhere in the world.
Founded in 2009 with the simple mission of protecting patients, today Tracelink has 8 offices, over 800 employees and more than 1300 customers in over 60 countries around the world. Our expanding product suite continues to protect patients and now also enhances multi-enterprise collaboration through innovative new applications such as MINT.
Tracelink is recognized as an industry leader by Gartner and IDC, and for having a great company culture by Comparably.
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.
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.
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.
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:
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.
Please see the Tracelink Privacy Policy for more information on how Tracelink processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise your privacy rights. If you have questions about this privacy notice or need to contact us in connection with your personal data, including any requests to exercise your legal rights referred to at the end of this notice, please contact Candidate-Privacy@tracelink.com.
Ready to apply?
Apply to TraceLink, Inc
Share this job
Company overview:
TraceLink’s software solutions and Opus Platform help the pharmaceutical industry digitize their supply chain and enable greater compliance, visibility, and decision making. It reduces disruption to the supply of medicines to patients who need them, anywhere in the world.
Founded in 2009 with the simple mission of protecting patients, today Tracelink has 8 offices, over 800 employees and more than 1300 customers in over 60 countries around the world. Our expanding product suite continues to protect patients and now also enhances multi-enterprise collaboration through innovative new applications such as MINT.
Tracelink is recognized as an industry leader by Gartner and IDC, and for having a great company culture by Comparably.
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
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.
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.
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.
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.
Please see the Tracelink Privacy Policy for more information on how Tracelink processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise your privacy rights. If you have questions about this privacy notice or need to contact us in connection with your personal data, including any requests to exercise your legal rights referred to at the end of this notice, please contact Candidate-Privacy@tracelink.com.
Ready to apply?
Apply to TraceLink, Inc
Share this job
Company overview:
TraceLink’s software solutions and Opus Platform help the pharmaceutical industry digitize their supply chain and enable greater compliance, visibility, and decision making. It reduces disruption to the supply of medicines to patients who need them, anywhere in the world.
Founded in 2009 with the simple mission of protecting patients, today Tracelink has 8 offices, over 800 employees and more than 1300 customers in over 60 countries around the world. Our expanding product suite continues to protect patients and now also enhances multi-enterprise collaboration through innovative new applications such as MINT.
Tracelink is recognized as an industry leader by Gartner and IDC, and for having a great company culture by Comparably.
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.
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.
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.
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.
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.
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.
Please see the Tracelink Privacy Policy for more information on how Tracelink processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise your privacy rights. If you have questions about this privacy notice or need to contact us in connection with your personal data, including any requests to exercise your legal rights referred to at the end of this notice, please contact Candidate-Privacy@tracelink.com.
Ready to apply?
Apply to TraceLink, Inc
Share this job
Company overview:
TraceLink’s software solutions and Opus Platform help the pharmaceutical industry digitize their supply chain and enable greater compliance, visibility, and decision making. It reduces disruption to the supply of medicines to patients who need them, anywhere in the world.
Founded in 2009 with the simple mission of protecting patients, today Tracelink has 8 offices, over 800 employees and more than 1300 customers in over 60 countries around the world. Our expanding product suite continues to protect patients and now also enhances multi-enterprise collaboration through innovative new applications such as MINT.
Tracelink is recognized as an industry leader by Gartner and IDC, and for having a great company culture by Comparably.
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:
Candidates must possess the following skills and traits:
Please see the Tracelink Privacy Policy for more information on how Tracelink processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise your privacy rights. If you have questions about this privacy notice or need to contact us in connection with your personal data, including any requests to exercise your legal rights referred to at the end of this notice, please contact Candidate-Privacy@tracelink.com.
Ready to apply?
Apply to TraceLink, Inc
Cookies & analytics
This site uses cookies from third-party services to deliver its features and to analyze traffic.