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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 management services. We specialize in delivering transformational solutions that span the entire customer lifecycle across diverse industries including Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and others. With a strong presence in key markets such as the US, UK, India, Mexico, Australia, South Africa, and the Philippines, we are committed to solving our clients' most pressing challenges through innovative, domain-centered teams supported by advanced technology, data analytics, and automation. Our approach is collaborative and future-focused, ensuring measurable outcomes that drive growth and efficiency for our clients.
About The Role
We are seeking a highly skilled and motivated AI Systems Engineer specializing in Generative AI (GenAI) to join our innovative team as an Individual Contributor. This role involves translating complex business problems into scalable, production-ready GenAI solutions, with a focus on both text and image modalities. The ideal candidate will have extensive experience in designing, building, and maintaining GenAI systems within production environments, demonstrating a strong understanding of AI model deployment, cloud infrastructure, and system reliability. As part of our team, you will own end-to-end problem solving, develop APIs and microservices, and leverage cloud services such as AWS to train, host, and optimize AI models. Your contributions will directly impact our clients' digital transformation journeys, enabling smarter, faster, and more efficient business processes.
Qualifications
- Minimum of one year of experience owning and operating production GenAI or machine learning systems, with a proven track record of delivering scalable back-end solutions.
- Deep understanding of foundational GenAI technologies including large language models (LLMs), vision-language models (VLMs), embeddings, retrieval-augmented generation (RAG), prompt orchestration, and fine-tuning techniques.
- Strong proficiency in back-end development, microservices architecture, API design, and event-driven systems, with experience in data modeling across SQL and NoSQL databases, including vector databases.
- Hands-on experience with cloud infrastructure, particularly AWS services such as Lambda, ECS/EKS, S3, DynamoDB, RDS, API Gateway, SQS/SNS, and AI-specific services like Bedrock and SageMaker.
- Expertise in observability, reliability, and performance optimization, including logging, metrics, tracing, incident response, and scalability strategies.
- Proficiency in programming languages such as Python, with additional skills in TypeScript, Go, or Java; familiarity with machine learning frameworks like PyTorch or TensorFlow; and containerization tools like Docker and Kubernetes.
- Experience with CI/CD pipelines, infrastructure as code (Terraform, CloudFormation), and automated testing frameworks.
- Strong problem-solving skills, ability to work collaboratively across teams, and excellent communication skills to document architecture and support deployment processes.
Responsibilities
- Translate business objectives into technical plans and develop pragmatic, scalable solutions for GenAI applications.
- Design, implement, and maintain production back-end systems, including APIs and microservices, to support GenAI workloads.
- Utilize AWS cloud services and AI-specific tools to train, deploy, and optimize models for real-world applications.
- Develop multi-modal features encompassing text (LLMs, RAG) and images (VLMs, CV), including retrieval systems, embeddings, fine-tuning, and evaluation pipelines.
- Implement observability frameworks by instrumenting logging, metrics, and traces; build dashboards and alerting systems to monitor system health, performance, and costs.
- Establish and maintain governance practices through offline/online evaluation, A/B testing, safety guardrails, and compliance checks to ensure model quality and safety.
- Automate deployment pipelines using CI/CD tools, infrastructure as code, and automated testing to streamline the path from development to production.
- Collaborate closely with product managers, domain experts, and downstream teams to support launches, document architecture, and iterate based on data-driven insights.
Benefits
At Firstsource, we offer a competitive benefits package designed to support our employees' well-being and professional growth. Our offerings include comprehensive health insurance, retirement savings plans, paid time off, and flexible work arrangements. We are committed to fostering a diverse and inclusive workplace that values innovation, collaboration, and continuous learning. Employees have access to ongoing training programs, mentorship opportunities, and resources to advance their careers in cutting-edge AI and technology domains. Additionally, we promote a healthy work-life balance and provide a supportive environment where your contributions make a tangible impact.
Equal Opportunity
Firstsource is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, gender, sexual orientation, age, disability, or any other protected characteristic. Our hiring process is fair, transparent, and merit-based. We encourage all qualified candidates to apply and join us in shaping the future of business process services and AI innovation.
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