{"id":694238,"url":"https://alion.io/job/bayrocklabs-ai-engineer-2","title":"AI Engineer","company":{"id":669117,"name":"BayRock Labs 4S Framework","domain":"bayrocklabs.com","url":"https://alion.io/company/bayrocklabs","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":{"grade":"D","score":40,"open_postings":12,"ghost_share":1,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-31T05:58:55Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Newark, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":124000,"max_usd":276000,"period":"year","method":"role_country_seniority_unknown","sample_n":4425},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Claude","optional":false},{"name":"FastAPI","optional":false},{"name":"GCP","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Mistral","optional":false},{"name":"Python","optional":false},{"name":"FAISS","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Kubeflow","optional":true},{"name":"MLFlow","optional":true},{"name":"Pinecone","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"RAG","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-01-15T20:49:35Z","employer_posted_date":"2026-01-15","last_verified_at":"2026-11-01T03:44:46Z","board_verified":true,"closed_at":null,"days_open":289,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":288},"description":"About BayRock Labs\nAt BayRock Labs, we pioneer innovative tech solutions that drive business transformation. As a leading product engineering firm based in Silicon Valley, we provide full-cycle product development, leveraging cutting-edge technologies in AI, ML, and data analytics. Our collaborative, inclusive culture fosters professional growth and work-life balance. Join us to work on ground-breaking projects and be part of a team that values excellence, integrity, and innovation. Together, let's redefine what's possible in technology.\n We are seeking a highly skilled AI Engineer with strong hands-on experience in building and integrating LLM-powered systems. The ideal candidate will have deep expertise in Python, practical experience with LangGraph/LangChain for agent workflows, and proficiency in FastAPI for developing production-grade APIs. This role involves designing, deploying, and scaling intelligent systems that leverage large language models to deliver enterprise-ready solutions.\nKey Responsibilities\nDesign and build advanced AI systems powered by large language models (LLMs).\nDevelop and integrate agent workflows using LangGraph/LangChain frameworks.\nImplement production-grade APIs with FastAPI to support scalable deployments.\nCollaborate with cross-functional teams (data scientists, ML engineers, product managers) to deliver end-to-end AI solutions.\nOptimize performance, reliability, and scalability of AI-driven applications.\nStay current with emerging AI/ML technologies and contribute to innovation initiatives.\nRequired Skills & Experience\nStrong hands-on experience with LLM-powered systems (e.g., GPT, Claude, LLaMA, Mistral).\nDeep expertise in Python for AI/ML development.\nProven experience with LangGraph/LangChain for agent workflow orchestration.\nProficiency in FastAPI for building robust, production-ready APIs.\nSolid understanding of ML lifecycle management, including deployment, monitoring, and scaling.\nExperience with cloud platforms (Azure, AWS, or GCP) for AI/ML workloads.\nStrong problem-solving skills and ability to work in fast-paced environments.\nPreferred Qualifications\nExperience with vector databases (e.g., Pinecone, Weaviate, FAISS) for retrieval-augmented generation.\nFamiliarity with MLOps tools (MLflow, Kubeflow, or similar).\nKnowledge of prompt engineering and fine-tuning LLMs.\nPrior work in enterprise AI applications (chatbots, copilots, automation systems).","description_format":"text","description_chars":2433,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United 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