AI ML Engineer

Must 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 handson experience building secure AI search and retrieval for largescale enterprise document platforms using Azure AI Search and Azure OpenAI.
1. Enterprise Document Platform Experience with largescale enterprise document repositories
2. AI Search & Retrieval Foundations Strong understanding of:
a. RetrievalAugmented 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 citationbased 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 cloudnative service design (scalability resiliency observability)
6. Security & Governance Awareness
Experience implementing securityaware retrieval including Documentlevel access control Metadatadriven 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 / PrincipalLevel Criteria
a. Experience designing enterprise RAG platforms
b. Leading or influencing AI architecture decisions (retrieval patterns security models)
c. Experience with agentic or multistep retrieval for complex documents
d. Ability to balance: Accuracy Explainability Compliance Cost Proven ability to mentor other engineers in AI search / retrieval patterns

SYNECHRONS 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 applicants gender gender identity sexual orientation race ethnicity disabled or veteran status or any other characteristic protected by law.

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