Software Development Engineer 3 - AI/ML

This role is for one of Weekday's clients

Min Experience: 8 years

Location: Bengaluru

JobType: full-time

Requirements

As an SDE-3 in AI/ML, you will:

Translate business asks and requirements into technical requirements, solutions, architectures, and implementations
Define clear problem statements and technical requirements by aligning business goals with AI research objectives
Lead the end-to-end design, prototyping, and implementation of AI systems, ensuring they meet performance, scalability, and reliability targets
Architect solutions for GenAI and LLM integrations, including prompt engineering, context management, and agentic workflows
Develop and maintain production-grade code with high test coverage and robust CI/CD pipelines on AWS, Kubernetes, and cloud-native infrastructures
Establish and maintain post-deployment monitoring, performance testing, and alerting frameworks to ensure performance and quality SLAs are met
Conduct thorough design and code reviews, uphold best practices, and drive technical excellence across the team
Mentor and guide junior engineers and interns, fostering a culture of continuous learning and innovation
Collaborate closely with product management, QA, data engineering, DevOps, and customer facing teams to deliver cohesive AI-powered product features

Key Responsibilities

Problem Definition & Requirements
Translate business use cases into detailed AI/ML problem statements and success metrics
Gather and document functional and non-functional requirements, ensuring traceability throughout the development lifecycle
Architecture & Prototyping
Design end-to-end architectures for GenAI and LLM solutions, including context orchestration, memory modules, and tool integrations
Build rapid prototypes to validate feasibility, iterate on model choices, and benchmark different frameworks and vendors
Development & Productionization
Write clean, maintainable code in Python, Java, or Go, following software engineering best practices
Implement automated testing (unit, integration, and performance tests) and CI/CD pipelines for seamless deployments
Optimize model inference performance and scale services using containerization (Docker) and orchestration (Kubernetes)
Post-Deployment Monitoring
Define and implement monitoring dashboards and alerting for model drift, latency, and throughput
Conduct regular performance tuning and cost analysis to maintain operational efficiency
Mentorship & Collaboration
Mentor SDE-1/SDE-2 engineers and interns, providing technical guidance and career development support
Lead design discussions, pair-programming sessions, and brown-bag talks on emerging AI/ML topics
Work cross-functionally with product, QA, data engineering, and DevOps to align on delivery timelines and quality goals

Required Qualification

Bachelor's or Master's degree in Computer Science, Engineering, or a related field
8+ years of professional software development experience, with at least 3 years focused on AI/ML systems
Proven track record of architecting and deploying production AI applications at scale
Strong programming skills in Python and one or more of Java, Go, or C++
Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerized deployments
Deep understanding of machine learning algorithms, LLM architectures, and prompt engineering
Expertise in CI/CD, automated testing frameworks, and MLOps best practices
Excellent written and verbal communication skills, with the ability to distill complex AI concepts for diverse audiences

Preferred Experience

Prior experience building Agentic AI or multi-step workflow systems (using tools like Langgrah, CrewAI or similar)
Familiarity with open-source LLMs (e.g., Hugging Face hosted) and custom fine-tuning
Familiarity with ASR (Speech to Text) and TTS (Text to Speech), and other multi-modal systems
Experience with monitoring and observability tools (e.g. Datadog, Prometheus, Grafana)
Publications or patents in AI/ML or related conference presentations
Knowledge of GenAI evaluation frameworks (e.g., Weights & Biases, CometML)
Proven experience designing, implementing, and rigorously testing AI-driven voice agents - integrating with platforms such as Google Dialogflow, Amazon Lex, and Twilio Autopilot - and ensuring high performance and reliability

What we offer?

Opportunity to work at the forefront of GenAI, LLMs, and Agentic AI in a fast-growing SaaS environment
Collaborative, inclusive culture focused on innovation, continuous learning, and professional growth
Competitive compensation, comprehensive benefits, and equity options
Flexible work arrangements and support for professional development

Software Development Engineer 3 - AI/ML

Key Skills

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