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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).
Job Title: Python Developer - Django (Full Time)
Location: Gurgaon, Onsite
Interview: Virtual Interview
Experience Required: 3+ Years
About the Role
We are looking for a skilled Python Developer with hands-on experience in building scalable backend systems. The ideal candidate should have strong expertise in Python, Django, distributed task queues using Celery, Redis, RabbitMQ, and experience working with event streaming platforms like Kafka.
Key Responsibilities
- Design, develop, and maintain backend services using Python and Django.
- Implement and optimize task queues using Celery with Redis/RabbitMQ as brokers.
- Develop and integrate event-driven systems using Apache Kafka.
- Write clean, reusable, and efficient code following best practices.
- Build RESTful APIs and integrate with external services.
- Ensure performance, scalability, and security of applications.
- Collaborate with frontend developers, DevOps, and product teams to deliver high-quality solutions.
- Troubleshoot and debug issues in production and staging environments.
Required Skills & Experience
- 2+ years of professional experience in Python backend development.
- Strong knowledge of Django Framework.
- Hands-on experience with Celery, Redis, RabbitMQ, and Kafka.
- Good understanding of REST API design principles.
- Experience with relational databases (PostgreSQL/MySQL).
- Familiarity with version control (Git) and Agile development.
- Strong problem-solving skills and ability to work in a fast-paced environment.
At Pipaltree, we’re building an AI-enabled platform that helps brands understand how they’re truly perceived — not through surveys or static dashboards, but through real conversations happening across the world.
We’re a small team solving deep technical and product challenges: orchestrating large-scale conversation data, applying reasoning and summarization models, and turning this into insights that businesses can trust.
Requirements:
- Deep understanding of distributed systems and asynchronous programming in Python
- Experience with building scalable applications using LLMs or traditional ML techniques
- Experience with Databases, Cache, and Micro services
- Experience with DevOps is a huge plus
Job Overview:
We are looking for a seasoned Senior Backend Engineer (SDE II) with over 3 years of experience to grow a high-performing engineering team. The ideal candidate will have extensive hands-on experience in software development, deep technical expertise, and a proven track record of successfully leading large-scale engineering teams and projects. This role requires strategic leadership, the ability to manage complex technical challenges, and the ability to drive innovation while ensuring operational excellence. As a Backend SDE-2, you will collaborate with key stakeholders across the business, product management, and operations to ensure alignment with the organization’s goals and play a critical role in shaping the technology roadmap and engineering culture.
Key Responsibilities:
- Strategic Planning: Work closely with senior leadership to develop and implement engineering strategies that support business objectives. Define technology roadmaps and ensure alignment with organizational goals.
- Technical Excellence: Guide the team in designing and implementing scalable, robust software systems. Drive the adoption of best practices in architecture, coding standards, and software testing to ensure high-quality product delivery.
- Project and Program Management: Oversee the successful delivery of engineering projects, ensuring deadlines, quality standards, and budget constraints are met. Use agile methodologies to manage the development process and resolve bottlenecks.
- Cross-functional collaboration: Collaborate with Product Management, Design, Business, and Operations teams to define project requirements and deliverables. Ensure the smooth integration of engineering efforts across the organization.
- Risk Management: Anticipate and mitigate technical risks and roadblocks. Proactively identify areas of technical debt and drive initiatives to reduce it.
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
- 3+ years of experience in software engineering
- Proven track record of successfully delivering large-scale, high-impact software projects.
- Strong understanding of software architecture, design patterns, and scalable system design.
- Expertise in multiple programming languages and modern development frameworks For this role we require expertise in Python/Django and API Development
- Experience with cloud infrastructure (AWS), microservices, and distributed systems.
- Good experience with MySQL and ElasticSearch. Slight experience with other NoSQL and SQL databases.
- Experience in DevOps, CI/CD pipelines, and infrastructure automation.
- Experience in delivering full-stack B2B/SaaS applications including mobile applications, web frontend, and a scalable backend.
- Excellent problem-solving skills, with the ability to diagnose and resolve complex technical challenges.
- Strong communication and interpersonal skills, with the ability to influence and inspire teams and stakeholders at all levels.
We are seeking a highly skilled and motivated Python Developer with hands-on experience in AWS cloud services (Lambda, API Gateway, EC2), microservices architecture, PostgreSQL, and Docker. The ideal candidate will be responsible for designing, developing, deploying, and maintaining scalable backend services and APIs, with a strong emphasis on cloud-native solutions and containerized environments.
Key Responsibilities:
- Develop and maintain scalable backend services using Python (Flask, FastAPI, or Django).
- Design and deploy serverless applications using AWS Lambda and API Gateway.
- Build and manage RESTful APIs and microservices.
- Implement CI/CD pipelines for efficient and secure deployments.
- Work with Docker to containerize applications and manage container lifecycles.
- Develop and manage infrastructure on AWS (including EC2, IAM, S3, and other related services).
- Design efficient database schemas and write optimized SQL queries for PostgreSQL.
- Collaborate with DevOps, front-end developers, and product managers for end-to-end delivery.
- Write unit, integration, and performance tests to ensure code reliability and robustness.
- Monitor, troubleshoot, and optimize application performance in production environments.
Required Skills:
- Strong proficiency in Python and Python-based web frameworks.
- Experience with AWS services: Lambda, API Gateway, EC2, S3, CloudWatch.
- Sound knowledge of microservices architecture and asynchronous programming.
- Proficiency with PostgreSQL, including schema design and query optimization.
- Hands-on experience with Docker and containerized deployments.
- Understanding of CI/CD practices and tools like GitHub Actions, Jenkins, or CodePipeline.
- Familiarity with API documentation tools (Swagger/OpenAPI).
- Version control with Git.
What we want to accomplish and why we need you?
Jio Haptik is an AI leader having pioneered AI-powered innovation since 2013. Reliance Jio Digital Services acquired Haptik in April 2019. Haptik currently leads India’s AI market having become the first to process 15 billion+ two-way conversations across 10+ channels and in 135 languages. Haptik is also a Category Leader across platforms including Gartner, G2, Opus Research & more. Recently Haptik won the award for “Tech Startup of the Year” in the AI category at Entrepreneur India Awards 2023, and gold medal for “Best Chat & Conversational Bot” at Martequity Awards 2023. Haptik has a headcount of 200+ employees with offices in Mumbai, Delhi, and Bangalore.
What will you do everyday?
As a backend engineer you will be responsible for building the Haptik platform which is used by people across the globe. You will be responsible for developing, architecting and scaling the systems that support all the functions of the Haptik platform. While you know how to work hard, you also know how to have fun at work and make friends with your colleagues.
Ok, you're sold, but what are we looking for in the perfect candidate?
Develop and maintain expertise in backend systems and API development, ensuring seamless integrations and scalable solutions, including:
- Strong expertise in backend systems, including design principles and adherence to good coding practices.
- Proven ability to enhance or develop complex tools at scale with a thorough understanding of system architecture.
- Capability to work cross-functionally with all teams, ensuring seamless implementation of APIs and solutioning for various tools.
- Skilled in high-level task estimation, scoping, and breaking down complex projects into actionable tasks.
- Proficiency in modeling and optimizing database architecture for enhanced performance and scalability.
- Experience collaborating with product teams to build innovative Proof of Concepts (POCs).
- Ability to respond to data requests and generate reports to support data-driven decision-making.
- Active participation in code reviews, automated testing, and quality assurance processes.
- Experience working in a scrum-based agile development environment.
- Commitment to staying updated with technology standards, emerging trends, and software development best practices.
- Strong verbal and written communication skills to facilitate collaboration and clarity.
Requirements*:
- A minimum of 5 years of experience in developing scalable products and applications.
- Must Have Bachelor's degree in Computer Engineering or related field.
- Proficiency in Python and expertise in at least one backend framework, with a preference for Django.
- Hands-on experience designing normalized database schemas for large-scale applications using technologies such as MySQL, MongoDB, or Elasticsearch.
- Practical knowledge of in-memory data stores like Redis or Memcached.
- Familiarity with working in agile environments and exposure to tools like Jira is highly desirable.
- Proficiency in using version control systems like Git.
- Strong communication skills and the ability to collaborate effectively in team settings.
- Self-motivated with a strong sense of ownership and commitment to delivering results.
- Additional knowledge of RabbitMQ, AWS/Azure services, Docker, MQTT, Lambda functions, Cron jobs, Kibana, and Logstash is an added advantage.
- Knowledge of web servers like Nginx/Apache is considered a valuable asset.
* Requirements is such a strong word. We don’t necessarily expect to find a candidate that has done everything listed, but you should be able to make a credible case that you’ve done most of it and are ready for the challenge of adding some new things to your resume.
Tell me more about Haptik
- On a roll: Announced major strategic partnership with Jio.
- Great team: You will be working with great leaders who have been listed in Business World 40 Under 40, Forbes 30 Under 30 and MIT 35 Under 35 Innovators.
- Great culture: The freedom to think and innovate is something that defines the culture of Haptik. Every person is approachable. While we are working hard, it is also important to take breaks to not get too worked up.
- Huge market: Disrupting a massive, growing chatbot market. The global market is projected to attain a valuation of US $0.94 bn by the end of 2024 progressing from US $0.11 bn earned in 2015.
- Great customers: Businesses across industries - Samsung, HDFCLife, Times of India are some that have relied on Haptik's Conversational AI solutions to engage, acquire, service and understand customers.
- Impact: A fun and exciting start-up culture that empowers its people to make a huge impact.
Working hard for things that we don't care about is stress, but working hard for something we love is called passion! At Haptik we passionately solve problems in order to be able to move faster and don't shy away from breaking things!
Roles:
- Developing core infrastructure in Python, Django.
- Developing models and business logic (e. g. transactions, payments, diet plan, search, etc).
- Architecting servers and services that enable new product features.
- Building out newly enabled product features
- Minimum 4 years of industry or open-source experience.
- Proficient in at least one OO language: Python(preferred)/Golang/Java.
- Writing high-performance, reliable and maintainable code.
- Good knowledge of database structures, theories, principles, and practices.
- Experience working with AWS components [EC2, S3, RDS, SQS, ECS, Lambda].











