TraceLink · 1 day ago
Staff/Senior Applied Scientist, AI/GenAI & ML Systems
TraceLink is a leader in providing software solutions to the pharmaceutical industry, focusing on digitizing supply chains for better compliance and visibility. The Staff/Senior Applied Scientist will lead the design and deployment of production-grade GenAI and ML systems, emphasizing hands-on development and optimization of multi-agent architectures in cloud environments.
Developer PlatformSaaSSupply Chain Management
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
Qualification
Required
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
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)
Company
TraceLink
TraceLink is a SaaS network creation platform company that connects people, companies, systems and processes, on a network for greater good.
H1B Sponsorship
TraceLink has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (10)
2024 (26)
2023 (22)
2022 (29)
2021 (46)
2020 (42)
Funding
Current Stage
Late StageTotal Funding
$233.86MKey Investors
GeorgianGoldman Sachs Growth EquityVolition Capital
2018-08-21Series D· $93M
2018-06-09Series D· $60M
2016-11-30Series C· $51.5M
Recent News
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2026-01-22
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