SDE - III

Job Description – AI Tech Lead

Location: Bangaluru

Experience: 10+ Years

Function: AI Center of Excellence (CoE)

Reporting To: Senior Vice President – CX / Head of AI CoE

We are seeking two highly experienced AI Tech Leads (AVP/DGM level) to drive the architecture, development, and delivery of large‑scale AI solutions spanning Predictive AI, GenAI, and Agentic AI across BPM, IT Services, Digital, Data Engineering, and Enterprise Transformation programs.

The role demands strong technical leadership, solution design capabilities, hands‑on execution ownership, and the ability to lead multi‑disciplinary teams to deliver scalable, production‑grade AI systems.

2. Key Responsibilities

A. Solution Architecture & Strategy

• Lead end‑to‑end solution architecture across Predictive AI, GenAI, Agentic AI, and enterprise data ecosystems.
• Partner with business and technology teams to define AI strategy, technical roadmaps, and implementation frameworks.
• Translate business goals into scalable AI architectures leveraging microservices, distributed systems, and modern AI toolchains.
• Own architectural decisions on model design, data pipelines, deployment frameworks, MLOps stack, and scaling strategies.

B. Project Delivery & Execution Leadership

• Drive the complete AI project lifecycle: Requirement Analysis → Architecture → Model Development → Engineering → Deployment → Monitoring.
• Lead AI engineering teams in developing production‑grade ML/GenAI/Agentic solutions with high reliability and performance.
• Establish and enforce engineering best practices, coding standards, DevOps/MLOps processes, and quality controls.
• Manage multiple concurrent AI initiatives with strong governance, risk mitigation, and stakeholder communication.

C. Technical Hands-on Expertise

• Architect and build complex AI systems involving:
• Large Language Models (LLMs) & GenAI apps
• Agentic workflows and autonomous task orchestration
• Predictive modeling, forecasting, optimization, and statistical modeling
• Knowledge graphs, vector databases, embeddings
• Data engineering pipelines (ETL/ELT) and cloud-native architectures
• Drive model evaluation, experimentation, benchmarking, A/B testing, and continuous improvements.

D. Team Leadership & Mentoring

• Lead and mentor a team of AI engineers, data scientists, MLOps engineers and developers.
• Build internal capabilities by establishing training, code reviews, reusable accelerators, and technical playbooks.
• Actively collaborate with product managers, data engineering teams, CX strategy teams, and domain SMEs.

E. Stakeholder & Client Management

• Act as a technology partner during client discussions, proposals, RFP responses, and solution demonstrations.
• Communicate complex AI concepts to CXOs, business leaders, and non-technical stakeholders seamlessly.
• Support pre-sales with solutioning, effort estimation, and technical presentations.

3. A. Technical Skills

• Strong proficiency in Python, cloud platforms (Azure/AWS/GCP), and AI frameworks (TensorFlow, PyTorch, LangChain, LlamaIndex).
• Hands-on experience building applications using:
• LLMs, RAG, fine‑tuning, prompt engineering
• Autonomous AI agents & multi-agent systems
• Predictive ML models (Regression, Classification, Clustering, NLP, CV)
• Expertise in microservices architecture, API design, scalable deployments.
• Strong command over SDLC, Agile methodologies, CI/CD, DevOps & MLOps.
• Experience with data engineering tools: Spark, Databricks, Airflow, Kafka, SQL/NoSQL, and modern data lakehouse platforms.

B. Functional & Domain Skills

• Experience working in BPM, Customer Experience, Digital Transformation, IT Services.
• Ability to map AI use cases to business value: workflow optimization, automation, customer experience, operations, and analytics.

C. Leadership & Soft Skills

• Strong team leadership and mentoring experience.
• Excellent communication, client-facing abilities, and stakeholder management skills.
• Strong decision-making, problem-solving, and delivery ownership.

4. Qualifications

• Bachelor’s / Master’s in Computer Science, Engineering, Data Science, or related fields.
• 10–15 years total experience with at least 5+ years leading AI/ML projects.
• Demonstrated success delivering large-scale AI programs in enterprise environments.
• Certifications in AI/ML, cloud, or architecture (preferred).

Role & Responsibilities

As a Software Development Engineer - 3, Backend Engineer , you will play a critical role in architecting, designing, and delivering robust backend systems that power our platform. You will lead by example, driving technical excellence and mentoring peers while solving complex engineering problems. This position offers the opportunity to work with a highly motivated team in a fast-paced and innovative environment.

Key Responsibilities:

Technical Leadership-

• Design and develop highly scalable, fault-tolerant, and maintainable backend systems using Java and related frameworks.
• Provide technical guidance and mentorship to junior developers, fostering a culture of learning and growth.
• Review code and ensure adherence to best practices, coding standards, and security guidelines.

System Architecture and Design-

• Collaborate with cross-functional teams, including product managers and frontend engineers, to translate business requirements into efficient technical solutions.
• Own the architecture of core modules and contribute to overall platform scalability and reliability.
• Advocate for and implement microservices architecture, ensuring modularity and reusability.

Problem Solving and Optimization-

• Analyze and resolve complex system issues, ensuring high availability and performance of the platform.
• Optimize database queries and design scalable data storage solutions.
• Implement robust logging, monitoring, and alerting systems to proactively identify and mitigate issues.

Innovation and Continuous Improvement-

• Stay updated on emerging backend technologies and incorporate relevant advancements into our systems.
• Identify and drive initiatives to improve codebase quality, deployment processes, and team productivity.
• Contribute to and advocate for a DevOps culture, supporting CI/CD pipelines and automated testing.

Collaboration and Communication-

• Act as a liaison between the backend team and other technical and non-technical teams, ensuring smooth communication and alignment.
• Document system designs, APIs, and workflows to maintain clarity and knowledge transfer across the team.

Ideal Candidate

• Strong Java Backend Engineer.
• Mandatory (Experience 1): Must have 5+ years of backend development with strong focus on Java (Spring / Spring Boot)
• Mandatory (Experience 2): Must have been SDE-2 for at least 2.5 years (title should be there in resume)
• Mandatory (Tech skill 1) : Hands-on experience with RESTful APIs and microservices architecture
• Mandatory (Tech skill 2): Strong understanding of distributed systems, multithreading, and async programming
• Mandatory (Tech skill 3): Experience with relational and NoSQL databases
• Mandatory (Tech skill 4) : Exposure to Kafka/RabbitMQ and Redis/Memcached
• Mandatory (Tech skill 5): Experience with AWS / GCP / Azure, Docker, and Kubernetes
• Mandatory (Tech skill 6) : Familiar with CI/CD pipelines and modern DevOps practices
• Mandatory (Tech skill 7): Must have worked on core product/platform teams rather than support or internal tooling
• Mandatory (Ownership & Impact): Candidate should demonstrate end-to-end ownership of backend systems, including architecture/design decisions (HLD/LLD), scalability improvements, or measurable production impact (resume should clearly mention metrics such as scale, throughput, latency improvements, reliability, cost optimization, or user impact)
• Mandatory (Company): Top product companies (logistics, supply chain, e-commerce, or B2B SaaS at large scale)
• Mandatory (Stability): Must have stayed for at least 2 years with each of the previous companies
• Mandatory (Education): B.Tech in computer science or related field from Tier 1, Tier 2 colleges

• Strong development experience in Python in the environment of Unix/Linux/Ubuntu
• Strong practical knowledge of Python and its libraries.
• Current working experience with cloud deployment of AWS/Azure/GCP, Microservice architecture, and Docker in Python.
• Good knowledge of CI/CD and DevOps practices
• Good Experience of Python with Django/ Scrapy/ Flask frameworks.
• Good Experience in Jupyter/ Docker/ Elastic Search, etc.

• Solid understanding of software development principles and best practices.
• Strong analytical thinking and problem-solving skills.
• Proven ability to drive large-scale projects with a deep understanding of Agile SDLC, high collaboration, and leadership.

• Expected to have migration experience from one version to the other, as this project is about migration to the latest version.
• Preferred if had an OpenEdx platform experience or any LMS platform. 

• Programming Language: Python (Strong knowledge)
• Concurrency & Parallelism: Multithreading, Multiprocessing, AsyncIO, ThreadPoolExecutor, Future, concurrent.futures
• Memory Management: Reference Counting, Global Interpreter Lock (GIL)
• Distributed Computing: Dask, Apache Spark (Preferred)
• Data Processing: NumPy
• Inter-Service Communication: GRPC, REST API
• Containerization & Orchestration: Docker, Kubernetes
• Software Development Practices: Code Optimization, Debugging, Performance Tuning
• Communication & Problem-Solving: Technical Documentation, Team Collaboration, Asking for Clarity When Needed

Skills And Expertise

• Python, 
• Multithreading, 
• Multiprocessing, 
• Dask, Apache Spark, 
• NumPy, 
• REST API, 
• Docker, 
• Kubernetes, 
• Code Optimization

Job Description:

Engage in code design, testing, integration, deployment, and enhancements

Write high-quality code and take responsibility for tasks

Solve performance bottlenecks

Communicate and collaborate with product manager, QA, and UI/UX teams

Deliver with quality, on-time in a fast-paced start-up environment

Have a strong sense of code quality

Candidate Profile:

Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)

At least 5+ years of relevant experience as a back-end engineer

Excellent Java and object-oriented development skills

Experience in building and scaling microservices

Strong problem-solving skills, technical troubleshooting, and diagnosing

Solid knowledge of RDBMS and NoSQL technologies

Experience in developing back-ends for enterprise systems

Knowledge of debugging performance and optimization techniques

Experience in Java, Mongo, MySQL, AWS technologies, ELK stack, Spring boot, Kafka

Good knowledge of cloud technologies eg. AWS

Demonstrated ability to deliver in a fast-paced environment

• Implement best practices for the engineering team across code hygiene, overall architecture design, testing, and deployment activities
• Drive technical decisions for building data pipelines, data lakes, and analyst access.
• Act as a leader within the engineering team, providing support and mentorship for teammates across functions
• Bachelor’s Degree in Computer Science or equivalent job experience
• Experienced developer in large data environments
• Experience using Git productively in a team environment
• Experience with Docker
• Experience with Amazon Web Services
• Ability to sit with business or technical SMEs to listen, learn and propose technical solutions to business problems

·       Experience using and adapting to new technologies

·       Take and understand business requirements and goals

·       Work collaboratively with project managers and stakeholders to make sure that all aspects of the project are delivered as planned

·       Strong SQL skills with MySQL or PostgreSQL

• Experience with non-relational databases and their role in web architectures desired

 Knowledge and Experience:

• Good experience with Elixir and functional programming a plus

• Several years of python experience
• Excellent analytical and problem-solving skills
• Excellent organizational skills

Proven verbal and written cross-department and customer communication skills

We're looking for exprienced Python developers with over 2+ years of production experience and strong expertise in building web applications and APIs using Python, Django and DRF. We are looking for cadidates who are go-getters and are leaning towards leadership positions. Candidates must have a proven history of building, scaling, optimising and securing Python based backends and APIs using a microservice architecture.

Bonus Skills : Experience with ReactJs, Node.js, FastAPI

We would prefer candidates who can join immediately or are currently serving their notice period. Jumpers please excuse, your application will be ignored

Key Skills Required

1. Proficiency in Python 3.x based web and backend development
2. Solid understanding of Python concepts
3. Strong experience in building web applications using Django
4. Experience building REST APIs using DRF or Flask
5. Experience with some form of Machine Learning (ML)
6. Experience in using libraries such as Numpy and Pandas
7. Hands on experience with RDBMS such as Postgres or MySQL including querying
8. Comfort with Git repositories, branching and deployment using Git
9. Working experience with Docker
10. Basic working knowledge of ReactJs
11. Experience in deploying Django applications to AWS,Digital Ocean or Heroku

Responsibilities

1. Understanding requirement and congributing to engineering solutions at a conceptual stage to provide the best possible solution to the task/challenge
2. Building high quality code using coding standards based on the SRS/Documentation
3. Building component based, maintainable, scalable and reusable backend libraries/modules.
4. Building & documenting scalable APIs on the Open Spec standard
5. Unit testing development modules and APIs
6. Conducting code reviews to ensure that the highest quality standard are maintained
7. Securing backend applications and APIs using industry best practices
8. Troubleshooting issues and fixing bugs raised by the QA team efficiently.
9. Optimizing code
10. Building and deploying the applications

• Employment type

  Full-time

Job Description

• Develop p2p infrastructure systems to support blockchain interoperability
• Improve engineering standards, tooling, and processes
• Coding with concurrency, efficiency and scalability as primary motive
• Rigor on Unit testing, coverage and best practices
• Document systems, build runbooks, and automate those processes
• Being hands on by writing, testing, and deploying high-performance networking code.

Required qualifications

1+ years of experience in Golang, Strong knowledge of Go programming language, paradigms, constructs, and idioms, willingness to learn on the go, ability to write clean code, a strong sense of responsibility.

Tech Stack

Go, git, linux, bash, ability to work with Docker.

Nice to have

Experience developing in c++, cryptography and system software development experience,understanding of design patterns, understanding of operating systems, networks.