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About The Company
Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a leading global provider of business process services. We specialize in delivering transformational solutions and services that span the entire customer lifecycle across a diverse range of industries including Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and more. Our extensive presence in key markets such as the US, UK, India, Mexico, Australia, South Africa, and the Philippines enables us to offer localized and scalable solutions tailored to our clients’ needs. Our team of domain-centered professionals leverages cutting-edge technology, data analytics, and innovative strategies to solve complex business challenges and deliver measurable outcomes. At Firstsource, we are committed to creating value for our clients through collaborative efforts and a future-focused approach.
About The Role
We are seeking a highly skilled and motivated AI Systems Engineer (GenAI) to join our dynamic team as an individual contributor. In this role, you will be responsible for translating complex business problems into innovative, production-ready Generative AI solutions. You will have the opportunity to work on cutting-edge AI systems involving both text and image modalities, contributing to the development, deployment, and optimization of AI models in real-world environments. The ideal candidate will possess a strong background in designing and operating scalable AI back-end systems, with hands-on experience in cloud infrastructure, microservices architecture, and AI model integration. This role offers a unique chance to influence the future of AI-driven products and solutions within a collaborative and forward-thinking organization.
Qualifications
The ideal candidate will have a minimum of one year of experience owning and managing production GenAI or ML systems, demonstrating a track record of building reliable, scalable, and high-performance back-end services. Proficiency in AI foundational technologies such as LLMs, VLMs, embeddings, RAG, prompt orchestration, and fine-tuning is essential. Strong expertise in designing microservices, APIs, and event-driven architectures, along with experience in data modeling across SQL and NoSQL databases, is required. Familiarity with vector databases and cloud infrastructure—particularly AWS—is crucial. Candidates should possess excellent skills in programming languages such as Python, and at least one of TypeScript, Go, or Java. Experience with deep learning frameworks like PyTorch or TensorFlow, containerization tools like Docker, orchestration platforms such as Kubernetes, and CI/CD pipelines is also necessary. A solid understanding of observability, reliability, and security best practices in cloud environments will be highly valued.
Responsibilities
- Own problems end-to-end by translating business goals into technical plans, designing pragmatic solutions, and delivering production systems with measurable impact.
- Design and implement backend APIs and microservices (REST/gRPC) optimized for GenAI workloads, ensuring scalability and robustness.
- Containerize and orchestrate services using Docker, Kubernetes, ECS, or EKS to facilitate deployment and management in cloud environments.
- Leverage AWS services such as Lambda, ECS/EKS, S3, DynamoDB, RDS, API Gateway, SQS, SNS, and CloudWatch, along with AI-specific services like Bedrock and SageMaker for training, hosting, and integrating models.
- Develop solutions across modalities, including text (LLMs, RAG) and images (VLMs, CV), incorporating retrieval, embeddings, fine-tuning, adapters, and evaluation pipelines.
- Implement observability by instrumenting logging, metrics, and traces using tools like OpenTelemetry, CloudWatch, and Datadog; build dashboards, set SLOs/SLIs, and establish alerting mechanisms.
- Validate and govern AI models through offline/online evaluations, A/B testing, guardrails, data and model quality checks, and safety/compliance gates.
- Automate deployment pipelines and infrastructure management through CI/CD practices, infrastructure as code (Terraform, CloudFormation), automated testing, and rollout strategies such as canary and blue-green deployments.
- Collaborate closely with product managers, domain experts, and downstream teams; document architecture; support product launches; and iterate based on data-driven insights.
Benefits
Firstsource offers a comprehensive benefits package designed to support our employees' professional and personal growth. We provide competitive salaries, health insurance, and wellness programs. Employees have access to ongoing training and development opportunities to enhance their skills and stay ahead in the rapidly evolving AI landscape. Our organization promotes a collaborative work environment that encourages innovation and knowledge sharing. Additionally, we support flexible work arrangements and recognize outstanding performance through various reward programs. Joining Firstsource means becoming part of a global team dedicated to making a meaningful impact through technology and innovation.
Equal Opportunity
Firstsource is an equal opportunity employer. We are committed to fostering an inclusive workplace where diversity is valued and all employees are treated with respect and fairness. We do not discriminate based on race, color, religion, gender, sexual orientation, age, disability, or any other protected characteristic. Our hiring practices are transparent and merit-based, ensuring equal opportunities for all qualified candidates. We encourage individuals from diverse backgrounds to apply and join our team in driving innovative solutions for our clients worldwide.
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