Senior AI and Generative AI Engineer

Synechron Technologies; Bengaluru; Hybrid; INR 2,800,000 - 4,200,000; Full time

Benefits offered by this job

flexible workplace arrangements

mentoring

internal mobility

learning and development programs

and more

Job summary

Synechron Technologies seeks an AI / Generative AI Engineer with 6+ years to design, develop, and deploy scalable AI-powered applications. You will work with stakeholders to build production-grade AI solutions using LLMs, RAG, and agentic workflows.

The role emphasizes cloud platforms (Azure/OpenAI, AWS Bedrock), model orchestration, data pipelines, and responsible AI practices, with collaboration across DevOps, MLOps, and engineering teams in a hybrid setup.

Qualifications

• 6+ years of AI/GenAI experience.
• Strong Python development experience.
• Hands-on expertise in Generative AI and LLMs.
• Experience with RAG architectures and prompt engineering.
• Familiarity with vector databases and semantic search.
• Experience with cloud AI platforms (Azure OpenAI, AWS Bedrock, OpenAI).

Responsibilities

• Design, develop, and deploy Generative AI solutions with LLMs and foundation models.
• Build end-to-end AI apps including data ingestion, prompt engineering, RAG pipelines, and API integrations.
• Develop AI Agents and agentic workflows with orchestration frameworks.
• Implement solutions using Azure OpenAI, AWS Bedrock, OpenAI APIs and related services.
• Design and manage vector databases and semantic search solutions.
• Create scalable APIs and microservices to integrate AI into enterprise apps.
• Optimize LLM performance via prompts, fine-tuning, and evaluation.
• Implement responsible AI, guardrails, monitoring, and governance.
• Collaborate with DevOps and MLOps for deployment and lifecycle management.
• Stay updated with Generative AI and MLOps trends.

Skills

Core AI & ML

Python

Generative AI

LLMs

NLP

Transformers

RAG

Vector Databases

LangChain

LangGraph

Agentic AI

MCP

OpenAI

Azure OpenAI

AWS Bedrock

Hugging Face

Cloud Platforms

REST APIs

FastAPI

Docker

Kubernetes

CI/CD

Git

SQL

NoSQL

Data Pipelines

Knowledge Graph

MLOps

Guardrails

Tools

Azure OpenAI

AWS Bedrock

OpenAI APIs

LangChain

LangGraph

Pinecone

ChromaDB

FAISS

Weaviate

Hugging Face

Docker

Kubernetes

FastAPI

REST APIs

GitHub

Job description

Job Title

AI / Generative AI Engineer (6+ Years)

Experience

6+ Years

Location

Pune / Bengaluru / Hyderabad / Mumbai (Hybrid)

Employment Type

Full-time

Job Summary

We are seeking a highly skilled AI / Generative AI Engineer with 6+ years of experience in designing, developing, and deploying AI-powered applications. The ideal candidate should possess strong expertise in Generative AI, Large Language Models (LLMs), Agentic AI frameworks, Retrieval-Augmented Generation (RAG), and cloud-based AI platforms. The candidate will work closely with business stakeholders, solution architects, and engineering teams to build scalable and production-grade AI solutions.

Key Responsibilities

• Design, develop, and deploy Generative AI solutions leveraging LLMs and foundation models.
• Build end-to-end AI applications involving data ingestion, prompt engineering, RAG pipelines, model orchestration, and API integrations.
• Develop intelligent AI Agents and Agentic workflows using modern orchestration frameworks.
• Implement solutions using Azure OpenAI, AWS Bedrock, OpenAI APIs, and related AI services.
• Design and manage vector databases and semantic search solutions.
• Create scalable APIs and microservices to integrate AI capabilities into enterprise applications.
• Optimize LLM performance through prompt engineering, fine-tuning strategies, and evaluation frameworks.
• Implement responsible AI practices, AI guardrails, monitoring, and governance mechanisms.
• Collaborate with DevOps and MLOps teams for deployment, monitoring, and lifecycle management of AI models.
• Stay updated with the latest advancements in Generative AI, Agentic AI, multimodal AI, and LLM ecosystems.

Required Skills

• Core AI & ML
• Strong experience in Python development.
• Hands‑on expertise in Generative AI and Large Language Models (LLMs).
• NLP, Transformers, Embeddings, and Prompt Engineering.
• Retrieval-Augmented Generation (RAG) architecture.
• Vector Databases (Pinecone, ChromaDB, FAISS, Weaviate, etc.).
• Generative AI Ecosystem LangChain, LangGraph.
• Agentic AI Frameworks.
• Model Context Protocol (MCP).
• OpenAI / Azure OpenAI.
• AWS Bedrock.
• Hugging Face ecosystem.
• Cloud & Engineering Azure and/or AWS cloud platforms.
• REST APIs, FastAPI.
• Docker, Kubernetes.
• CI/CD pipelines.
• Git, GitHub/GitLab.
• Data & Databases SQL and NoSQL databases.
• Data ingestion and processing pipelines.
• Knowledge graph and semantic search concepts.
• MLOps & Governance Model deployment and monitoring.
• AI Guardrails and Responsible AI.
• ML lifecycle management and MLOps tools.

Preferred Qualifications

• Experience building enterprise‑scale GenAI solutions.
• Knowledge of Copilot, AI Agents, and multi‑agent systems.
• Exposure to BFSI domain is highly preferred.
• Experience with React, Node.js, or full‑stack development is an added advantage.
• Understanding of security, compliance, and governance requirements for AI applications.

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.

• flexible workplace arrangements
• mentoring
• internal mobility
• learning and development programs
• and more

We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply.

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 .

Candidate Application Notice

Experience Level Senior Level