Synechron is seeking a capable GenAI Engineer to design, develop, and deploy AI-driven solutions across enterprise platforms. This role combines hands-on GenAI, NLP, and data science work with collaboration across product, engineering, and operations teams to deliver scalable, secure, and production-ready AI-powered solutions. The ideal candidate will drive innovation in generative AI, guide a technical team, and ensure alignment with governance, risk, and compliance requirements while delivering measurable business value.

Company: Synechron

Role: GenAI Engineer | LLMs, NLP & AWS

Location: Bengaluru - Bellandur (GTP), Full time

Experience:

4–9 years of hands-on experience in AI/ML/Data Science, with 3+ years in GenAI or NLP
Proven track record delivering AI projects in production environments
Experience collaborating with cross-functional teams (product, data science, engineering, security)
Exposure to regulated industries and governance considerations is a plus

Key Skills:

Generative AI and large language models (LLMs) such as OpenAI, AWS Bedrock, or equivalent
Python for AI development and model integration
Retrieval-Augmented Generation (RAG) pipelines and serverless or event-driven architectures (e.g., SageMaker + Lambda)
Vector databases and embeddings (e.g., Faiss, Pinecone)
AI model deployment on cloud platforms (AWS, Azure, or GCP) and basic MLOps concepts
AI model governance, data privacy, and security considerations in production
Version control (Git) and collaborative development workflows
SDLC/ML lifecycle, experimentation, and model evaluation

Qualification:

Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field
Certifications in AI/ML, cloud platforms, or ML Ops are advantageous

Role Focus:

Lead design, development, and deployment of GenAI/AI-driven solutions and autonomous AI workflows
Mentor, guide, and coach junior AI/ML/Data Science team members
Identify, evaluate, and pilot new AI technologies and architectures to improve business processes
Collaborate with cross-functional teams to translate business requirements into scalable AI solutions
Stay current with AI/ML trends, evaluating new techniques and tools for adoption
Ensure governance, risk, and compliance considerations are embedded in AI initiatives
Develop and maintain AI architecture, deployment guidelines, and model governance documentation
Drive continuous improvement of AI delivery, automation, and operational efficiency

Nice to have:

Experience with containerization (Docker) and orchestration (Kubernetes) for AI services
Exposure to CI/CD pipelines for AI workflows (GitHub Actions, Jenkins, Harness)
Knowledge of model monitoring, bias mitigation, and safety in AI systems
Experience integrating AI solutions with existing enterprise data pipelines and APIs
Familiarity with AI tooling for code generation, data labeling, or automated testing
Experience with R, Java, C++ (for integration or performance-critical components)
LangChain, SpaCy, OpenAI API usage patterns
Knowledge of encryption layers, secure model serving, and model governance practices
Managed AI services (SageMaker, Vertex AI, Azure ML) and multi-cloud deployments
NoSQL databases and data warehousing concepts; data lineage and governance

Other:

Diversity & Inclusion are fundamental to Synechron's culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer.
Flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

GenAI Engineer | LLMs, NLP & AWS

Skills Required

Description