AI ML Engineer

Synechron; Pune District, Bengaluru, Chennai District; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Synechron seeks a Senior Engineer – Enterprise AI Search & Retrieval to build secure, scalable AI search for large enterprise document platforms using Azure AI Search and Azure OpenAI. You will design index strategies, implement RAG and vector search, and ground responses to trusted data sources.

You will collaborate on backend services that orchestrate search, LLM calls, and governance, while mentoring engineers and contributing to security-conscious architecture.

Qualifications

• Proficient in Python with solid software engineering practices
• Hands-on experience with LLMs and prompt engineering for enterprise use cases
• Experience with Azure OpenAI, Cognitive Search, and RAG implementations
• Knowledge of security, governance, and data compliance in AI systems
• Backend experience and API/service orchestration for search and LLM calls

Responsibilities

• Build secure AI search and retrieval for large-scale enterprise documents
• Design and optimize index and hybrid search (keyword + vector)
• Ground LLM outputs to enterprise data sources with citations
• Develop cloud-native services with scalability and observability
• Mentor engineers in AI search and retrieval patterns

Skills

Python

LLMs & prompt engineering

Azure OpenAI SDKs/APIs

MCP / Model Context Protocol

Cloud integration & REST APIs

Docker / Kubernetes

Tools

Azure OpenAI services

REST APIs

Docker

Kubernetes

Job description

## AI ML EngineerApplylocations: Pune - Hinjewadi (Ascendas): Bengaluru - Thanissandra (BCIT): Chennai - Taramani (Ascendas)time type: Full timeposted on: Posted Todayjob requisition id: JR1042180Must Have • Strong proficiency in Python. • Hands-on experience with LLMs and prompt engineering. • Expertise in Azure OpenAI SDKs, APIs, and deployment strategies. • Knowledge of agentic systems and Model Context Protocol (MCP). • Familiarity with cloud integration, REST APIs, and containerization (Docker/Kubernetes). JOB DESCRIPTION Senior Engineer – Enterprise AI Search & Retrieval (Azure AI Search, Azure OpenAI, RAG): This role requires hands‐on experience building secure, AI search and retrieval for large‐scale enterprise document platforms using Azure AI Search and Azure OpenAI. 1. Enterprise Document Platform Experience with large‐scale enterprise document repositories 2. AI Search & Retrieval Foundations Strong understanding of: a. Retrieval‐Augmented Generation (RAG), b. Vector search c. Experience grounding LLM responses in enterprise data sources 3. Azure AI Search / Cognitive Search a. Index design for unstructured enterprise documents Use of hybrid search (keyword + vector) c. Semantic ranking and relevance tuning 4. Azure OpenAI Generative Q&A Summarization Embedding generation Experience designing prompts that Constrain responses to source documents, Reduce hallucinations, Support citation‐based answers 5. Backend / Platform Engineering a. Strong backend engineering experience (Java, Python) b. Experience building APIs or services that orchestrate: Search, Retrieval, LLM calls c. Familiarity with cloud‐native service design (scalability, resiliency, observability) 6. Security & Governance Awareness Experience implementing security‐aware retrieval, including Document‐level access control, Metadata‐driven filtering of search results b. Awareness of compliance considerations (PII, PCI, confidential data) c. LLMs access restrictions for unauthorized content. 7. Observability & Quality a. Experience measuring and improving: Retrieval relevance, Answer accuracy, Latency across search and generation b. Familiarity with logging prompts, citations, and outputs for audit and debugging 8. Enterprise Integration a. Experience integrating AI search into Internal applications 9. Advanced / Principal‐Level Criteria a. Experience designing enterprise RAG platforms b. Leading or influencing AI architecture decisions (retrieval patterns, security models) c. Experience with agentic or multi‐step retrieval for complex documents d. Ability to balance: Accuracy, Explainability, Compliance, Cost, Proven ability to mentor other engineers in AI search / retrieval patterns***S******YNECHRON’S DIVERSITY & INCLUSION STATEMENT***Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.