StaffSenior Applied Scientist, GenAI & ML Systems
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Monthly Salary:
Posted on:
8 hours ago
Vacancies:
1 Vacancy
Job Summary
Company overview:
TraceLinks 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.
Senior Applied Scientist GenAI & ML Systems
Location: Pune India
About the Role
We are seeking a highly experienced Senior Applied Scientist GenAI & ML Systems to lead the design architecture and implementation of advanced agentic AI / GenAI systems within our next-generation supply chain this role you will build and evolve complex multi-agent systems capable of reasoning planning and executing workflows in dynamic and often non-deterministic environments. You will also be responsible for developing robust approaches to testing validation observability and reliability of AI-driven behavior in production.
This role is ideal for a senior technical leader with deep experience in cloud-native SaaS development AI-driven automation and modern software engineering practices. Experience in life sciences supply chain or regulated industry ecosystems is a significant advantage.
Key Responsibilities
Architect and deliver agentic AI / GenAI capabilities that automate and coordinate complex supply chain workflows at scale.
Design and implement non-deterministic multi-agent systems including agent coordination tool execution planning memory and feedback loops.
Own technical strategy for building reliable AI systems including:
agent evaluation frameworks
simulation-based testing
regression suites for non-deterministic outputs
validation of agent decision-making and outcomes
Build and operationalize advanced knowledge retrieval systems including RAG pipelines hybrid retrieval ranking and domain-grounding strategies.
Design scalable backend services and system infrastructure using Java and Python ensuring production-grade performance security and observability.
Implement AI system monitoring and feedback loops including agent trace capture prompt/tool auditing and performance metrics.
Fine-tune and optimize small language models (SLMs) for domain performance cost efficiency latency and task specialization.
Apply and experiment with reinforcement learning techniques in NLP / GenAI / agentic workflows including reward modeling or iterative improvement loops where appropriate.
Collaborate with product data science and domain experts to translate supply chain requirements into intelligent automation features.
Guide architecture across distributed services event-driven systems and real-time data processing using cloud-native design patterns.
Mentor engineers influence technical direction and establish system standards and best practices across teams.
Required Qualifications
6 years of experience building and operating SaaS applications on AWS GCP or Azure (minimum 5 years with AWS).
2 years of experience designing and running autonomous agentic systems in supply chain domains (logistics manufacturing planning procurement or similar).
6 years of hands-on Python experience delivering large-scale production-grade services.
Proven experience building deploying and operating complex multi-agent AI / GenAI systems in production including evaluation and monitoring of non-deterministic behaviors.
Strong experience with context engineering for multi-agent systems including prompt design memory and state management tool grounding and long-horizon task reliability.
Hands-on experience with one or more agent frameworks (e.g. LangGraph AutoGen CrewAI Semantic Kernel or equivalent).
Experience building and operating advanced knowledge systems (e.g. RAG hybrid search reranking grounding and citation strategies).
Experience fine-tuning and deploying language models and/or applying RL techniques in GenAI or agentic AI contexts.
Solid understanding of distributed systems microservices and production reliability best practices.
Preferred Qualifications
Knowledge of the life sciences supply chain including regulated environments pharma manufacturing/distribution or related compliance ecosystems.
Experience with Java and JavaScript/ECMAScript is a plus.
Familiarity with LLM orchestration patterns (tool calling function routing memory management multi-step planning agent supervision).
Experience deploying AI solutions in regulated or enterprise environments with strong governance and security expectations.
Who You Are
A hands-on technical leader who can move between architecture and implementation seamlessly.
Comfortable working in uncertainty designing systems where behavior can be probabilistic and emergent.
Passionate about building intelligent automation that is measurable safe explainable and scalable.
Strong communicator who can align stakeholders and drive execution across teams.
Please see the Tracelink Privacy Policyfor 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 .
Required Experience:
Senior IC
Key Skills
- Laboratory Experience
- Bioinformatics
- Biochemistry
- Utility Locating
- Assays
- Research Experience
- Next Generation Sequencing
- Sensors
- Signal Processing
- Matlab
- Research & Development
- Molecular Biology
About Company
TraceLink is the only network creation platform company that builds integrated business ecosystems with multienterprise applications - the true foundation for digitalization - delivering customer-centric agility and resiliency for end-to-end supply networks and leveraging the collecti ... View more
