Generative AI Developer (Assistant Manager Level)

Are you passionate about building the future with Generative AI? Join our innovative team and work on cutting-edge projects in Hyderabad and Bangalore!

Experience : 6- 8.5 Years

Location : Hyderabad / Bangalore

Education : 16 years full-time

Key Skills :

- GitHub Copilot, Gemini, LangChain, LLMs, GenAI agents/assistants

- Python/R workflows, AI/ML, Cloud Integration

- Strong foundation in OOPs, Data Structures, Algorithms, and clean coding practices

- Expertise in TensorFlow, PyTorch, Keras, Julia, NLP, Big Data, Angular, React, NodeJS, Java, Golang, SQL/NoSQL

- Cloud-native engineering with Azure, AWS, GCP

What We're Looking For :

- Strong software engineering foundation with deep understanding of OOPs, data-structure, algorithms, code instrumentations, beautiful coding practices etc.

- 5+ years of experience with AI/ML, with last 2 years focused on GenAI as well as technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, and approaches like Prompt Engineering, fine-tuning, etc.

- Proven experience in Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc.

- Proven experience with big data technologies, Angular, React, NodeJS, Python, C#, .NET Core, Java, Golang, SQL/NoSQL.

- Proven experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP.

- Strong understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc.

- Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.

Key Responsibilities :

Outcome-Driven Accountability :

- Embrace and drive a culture of accountability for customer and business outcomes.

- Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations.

Technical Leadership and Advocacy :

- Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals.

- Lead requirement analysis, component design, development, unit testing, integrations, and support.

Engineering Craftsmanship :

- Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations.

- Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks with significant focus on infusing AI/ML/GenAI where possible/appropriate.

- Create technical specifications, and write high-quality, supportable, scalable code ensuring all quality KPIs are met or exceeded.

- Demonstrate collaborative skills to work effectively with diverse teams.

Customer-Centric Engineering :

- Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs.

- Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.

Incremental and Iterative Delivery :

- Adopt a mindset that favors action and evidence over extensive planning.

- Utilize a learning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions.

Cross-Functional Collaboration and Integration :

- Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery.

- Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation.

Advanced Technical Proficiency :

- Possess deep expertise in modern software engineering practices and principles, including AI/ML/GenAI, Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle.

- Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery.

- Demonstrate understanding of the full lifecycle product development, focusing on continuous improvement and learning.

Domain Expertise :

- Quickly acquire domain-specific knowledge relevant to the business or product.

- Translate business/user needs, architectures, and UX/UI designs into technical specifications and code.

- Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff.

Effective Communication and Influence :

- Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly.

- Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence.

- Create coherent narratives that align technical solutions with business objectives.

Engagement and Collaborative Co-Creation :

- Engage and collaborate with product engineering teams at all organizational levels, including customers as needed.

- Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals.

- Align diverse perspectives and drive consensus to create feasible solutions.