Senior AI or ML Engineer - Machine Learning, Gen AI, Langchain

Primary Responsibilities:

• Build agentic workflows using Semantic Kernel, LangChain/LangGraph and AutoGen with tool calling, multi-agent coordination, and safe tool execution
• Implement RAG pipelines (chunking, embeddings, retrieval, ranking) with vector stores (e.g., Azure AI Search, Pinecone, Weaviate, FAISS)
• Ship robust services (Python/C#/TypeScript) with Docker/Kubernetes, CI/CD, observability, and cost/latency optimization
• Deploy and work with Cloud Native solutions (e.g., Azure, AWS, GCP)
• Integrate with enterprise systems via APIs, MCP servers, message buses, and event-driven architectures; design function/tool schemas
• Apply Responsible AI practices-prompt injection defenses, content filters, PII/PHI redaction, audit logging, and human-in-the-loop
• Establish offline/online LLM evals (accuracy, hallucination rate, safety) using frameworks like Ragas/DeepEval/LangChain Eval
• Guide and mentor junior developers to foster team growth
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• Bachelor''s degree in Computer Science, Engineering, or related field
• 8+ years of experience with proficiency in languages such as Java, C#, Python, or Go
• 3+ years of Docker experience
• 3+ years of experience with a container environment like Kubernetes
• 3+ years of Agile experience
• 3+ years of Cloud experience (AWS, Azure, etc.)
• 1+ years of experience building agentic workflows using Semantic Kernel, LangChain/LangGraph or AutoGen
• 1+ years of experience implementing RAG pipelines with vector stores
• Experience with LLM evals using frameworks like Ragas/DeepEval/LangChain Eval