Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE : FSL, BSE : 532809, Reuters : FISO.BO, Bloomberg : FSOL :IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes

AI Systems Engineer (GenAI), IC

We're looking for a hands-on Individual Contributor who excels at taking real business problems and turning them into production-ready GenAI solutions. If you have a strong track record of designing, building, and operating GenAI systems (across both text and images) in production environments, wed love to talk.

What You'll Do :

- Own problems end-to-end : Translate business goals into technical plans; design pragmatic solutions; deliver production systems with measurable impact.

- Build production back ends : Design and implement APIs and microservices (REST/gRPC) for GenAI workloads; containerize and orchestrate services (Docker/Kubernetes/ECS/EKS).

- Ship on AWS : Leverage AWS (e.g., Lambda, ECS/EKS, S3, DynamoDB/RDS, API Gateway, SQS/SNS, CloudWatch) plus AI services (e.g., Bedrock, SageMaker) to train, host, and integrate models.

- Work across modalities : Deliver features for text (LLMs/RAG) and images (VLMs/CV) including retrieval, embeddings, finetuning/adapters, and evaluation pipelines.

- Make it observable : Instrument logging, metrics, and traces (OpenTelemetry/CloudWatch/Datadog/etc.); build dashboards, SLOs/SLIs, and alerts; own performance, reliability, and cost.

- Validate and govern : Implement offline/online evaluations, A/B tests, guardrails/red-teaming, data and model quality checks, and safety/compliance gates.

- Automate the path to prod : Establish CI/CD (GitHub Actions/CodePipeline), infrastructure as code (Terraform/CloudFormation), automated tests, and roll-outs (canary/bluegreen).

- Collaborate without hand-offs : Partner with product, domain experts, and downstream teams; document architecture; support launches; close the loop with data-driven iteration.

What You've Shipped (Signals We'll Look For) :

- At least one year owning a production GenAI or ML system (not a side project), professional experience building backend or MLpowered products.

- Services you built that are running in production with users/traffic, clear SLIs/SLOs, and release/incident history.

- Evidence of quality : eval frameworks, regression tests, canary strategies, monitoring dashboards, cost/perf optimizations you introduced.

Required Experience :

- GenAI foundation : LLMs/VLMs, embeddings, RAG, prompt orchestration, adapters/finetuning, tokenization, latency/cost tradeoffs, content safety/guardrails.

- Backend & systems : Strong design of microservices, APIs, eventdriven patterns; data modeling across SQL/NoSQL; familiarity with vector databases.

- AWS & cloud infra : IAM/KMS/secrets, networking, containers/orchestration, CI/CD, IaC; operating services in AWS with cost/performance ownership.

- Observability & reliability : Logging, metrics, traces; performance profiling; incident response; chaos and load testing; availability and scaling strategies.

- Languages & tooling : Proficient in Python (plus one of TypeScript/Go/Java); PyTorch/TensorFlow; Docker/Kubernetes; git; testing frameworks.