Senior Lead Software Developer
KeySkills
Company Name
Job Description
- Define and own the end-to-end architecture of GenAI solutions
- Design, prototype, and implement LLM-based systems, including RAG pipelines, fine-tuning, and prompt engineering.
- Lead evaluation and integration of foundation models (OpenAI, Claude, Mistral, Meta, etc.) and open-source alternatives (LLaMA, Falcon,etc.).
- Collaborate with cross-functional teams (Data, DevOps, Product, Security) to integrate GenAI into enterprise systems securely and at scale.
- Architect LangChain, Haystack, or similar frameworks for orchestration of tool use and agentic workflows.
- Guide teams on model fine-tuning, embeddings, vector store design, and knowledge base integration.
- * Stay current with GenAI research and industry trends, and drive adoption of relevant innovations.
- Mentor and lead junior AI engineers and data scientists.
- Interface with stakeholders to translate business needs into technical architectures and scalable GenAI solutions.
Job Details
Experience :
3 To 7
Number Of
Vacancies :
10
Job Type :
Permanent
Industry Type : IT/Software
Salary
:
6 Lac - 15 Lac
P.A
Education Summary
UG :
Any UG Degree
PG :
Any PG Degree
Contact Details
Contact
Person :
NA
Contact
Number :
4439277700
e-mailId :
kirans@virtusapolaris.com
Address :
Virtusa Consulting Services Pvt Ltd,VirtusaPolarisFoundationBuildingNo 34 , IT High way, Rajiv Gandhi Salai,Navallur , Chennai .
Office Location
Central Jakarta No 1234, Jakarta, IndonesiaGen AI Lead
Experience -
0 to 1
Key Skills -
AWS Bedrock,
AWS Bedrock Agent Core SDK,
AWS Strands SDK,
AWS X-Ray,
Application Load Balancer,
OpenSearch,
Amazon Aurora,
S3,
DynamoDB,
EC2,
ECS,
EKS,
AWS Lambda,
API Gateway,
Amazon CloudWatch,
AWS CodePipeline,
AWS CodeBuild,
AWS CodeDeploy,
GitHub Actions,
GitLab CI,
AWS CloudFormation,
CDK,
Terraform,
Parameter Store,
AWS Secrets Manager,
Python.,
Lead consultant ML Ops
Experience -
4 to 7
Data Engineer
Experience -
2 to 4
Generative AI Developer
Experience -
5 to 8
Key Skills -
Python,
Generative AI,
Large Language Models (LLMs),
AWS Bedrock,
Bedrock Agent Core SDK,
AWS Strands SDK,
Multi-Agent Systems,
LangGraph,
CrewAI,
RAG (Retrieval Augmented Generation),
Vector Databases,
Embeddings,
Prompt Engineering,
AWS,
Lambda,
ECS,
EKS,
EC2,
API Gateway,
Application Load Balancer,
S3,
DynamoDB,
Aurora,
OpenSearch,
IAM,
CloudWatch,
AWS X-Ray,
CI/CD,
AWS CodePipeline,
CodeBuild,
CodeDeploy,
GitHub Actions,
GitLab CI,
Terraform,
CloudFormation,
AWS CDK,
Docker,
Kubernetes,
Observability,
Cost Optimization,
Security,
Responsible AI,
MLOps.,