Principal Engineer – GenAI & Applied AI Job at Codvo AI (Pune)

Principal Applied AI Engineer

Security represents the most critical priorities for our customers in a world aw...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Data Science or related technical field
Minimum 9+ Years of total Experience
5+ years technical engineering experience with coding in languages including C#, Java AND Python
Should have 5+ years in Data Science experience
3 years of experience with LLMs and open-source GenAI frameworks, such as LangChain, LlamaIndex, Haystack, or equivalents (e.g., Transformers, AutoGen, DSPy), including agent-based orchestration, prompt engineering, retrieval-augmented generation (RAG), and fine-tuning and evaluation
Proficiency in writing production-quality software code in one or more modern programming languages (Python, C#)
3+ years experience developing software systems end-to-end, from design to implementation
2+ years experience in shipping at least 2 large scale ML/AI-based services or applications on cloud platforms (Azure, AWS, GCP, etc.)

Job Responsibility

Design, develop, and deploy end-to-end AI/ML systems, including data ingestion, model training, evaluation, and integration into production environments
Build and optimize applications leveraging LLMs and open-source GenAI frameworks such as LangChain, LlamaIndex, Haystack, Transformers, AutoGen, and DSPy
Implement advanced GenAI techniques including agent-based orchestration, prompt engineering, retrieval-augmented generation (RAG), and model fine-tuning
Write production-grade software in Python and C# or Java, ensuring maintainability, scalability, and performance
Collaborate with cross-functional teams to translate business requirements into technical solutions
Ship and maintain large-scale AI applications, with a focus on performance monitoring and continuous improvement
Conduct rigorous evaluation of AI models using appropriate metrics and benchmarks
Optimize models for latency, throughput, and accuracy in real-world scenarios
Work closely with data scientists, product managers, and other engineers to drive AI initiatives
Stay current with the latest advancements in GenAI, LLMs, and AI frameworks

Fulltime

Principal Applied AI Engineer

Security represents the most critical priorities for our customers in a world aw...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Data Science or related technical field
Minimum 9+ Years of total Experience
5+ years technical engineering experience with coding in languages including C#, Java AND Python
Should have 5+ years in Data Science experience
3 years of experience with LLMs and open-source GenAI frameworks, such as LangChain, LlamaIndex, Haystack, or equivalents (e.g., Transformers, AutoGen, DSPy), including agent-based orchestration, prompt engineering, retrieval-augmented generation (RAG), and fine-tuning and evaluation
Proficiency in writing production-quality software code in one or more modern programming languages (Python, C#)
3+ years experience developing software systems end-to-end, from design to implementation
2+ years experience in shipping at least 2 large scale ML/AI-based services or applications on cloud platforms (Azure, AWS, GCP, etc.)

Job Responsibility

Design, develop, and deploy end-to-end AI/ML systems, including data ingestion, model training, evaluation, and integration into production environments
Build and optimize applications leveraging LLMs and open-source GenAI frameworks such as LangChain, LlamaIndex, Haystack, Transformers, AutoGen, and DSPy
Implement advanced GenAI techniques including agent-based orchestration, prompt engineering, retrieval-augmented generation (RAG), and model fine-tuning
Write production-grade software in Python and C# or Java, ensuring maintainability, scalability, and performance
Collaborate with cross-functional teams to translate business requirements into technical solutions
Ship and maintain large-scale AI applications, with a focus on performance monitoring and continuous improvement
Conduct rigorous evaluation of AI models using appropriate metrics and benchmarks
Optimize models for latency, throughput, and accuracy in real-world scenarios
Work closely with data scientists, product managers, and other engineers to drive AI initiatives
Stay current with the latest advancements in GenAI, LLMs, and AI frameworks

Fulltime

Principal engineer applied ai

Are you looking to redefine customer experience by bending the curve of innovati...

Location

India , Bengaluru; Pune

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

A Bachelor’s degree (or above) in computer science, engineering, mathematics, or a related discipline
12+ years of experience in Software Engineering, Data Science, or Analytics with 5+ years of experience in AI/ML engineering or related fields
Demonstrated experience designing and implementing highly scalable, production-grade AI/ML platforms and systems
Deep understanding of Large Language Models (LLMs), LLM training & fine tuning
Hands-on experience in GenAI and AgenticAI frameworks such as LangGraph/LangChain, CrewAI, Strands SDK, Google ADK, etc. Familiarity on working with MCP and A2A protocols
Expertise in various AI/ML techniques, such as deep learning, natural language processing, reinforcement learning, and large language models
Proficiency in Python, R, or other programming languages for data analysis and AI/ML development
Experience with DevOps and CI/CD tools and practices, such as Git, Jenkins, Docker, Kubernetes, etc.

Job Responsibility

Serve as the primary code-level reviewer and hands-on architect for the most complex AI/ML systems and frameworks
Define and enforce technology roadmaps, best practices, strategies, and standards for AI/ML adoption across the organization
Conduct and guide research on context/prompt engineering techniques to translate successful research into reusable engineering frameworks for the wider team
Architect and maintain robust data pipelines and data processing workflows for model training and model tuning, utilizing cloud services for scalability and efficiency
Implement and champion MLOps tools and practices, ensuring seamless integration of machine learning models and LLMs into production environments
Lead the effort to agentize existing systems (front-end & back-end apps) by incorporating agentic frameworks/stacks and integrating them via A2A, MCP protocol
Partner with cross-functional teams to integrate AI/ML solutions into products and services
Mentor and coach junior and senior engineers on advanced AI/ML techniques, best practices, and architecture design.

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution

Principal Machine Learning Engineer, Agentic AI

Location

United States

Salary:

Not provided

Zillow

Expiration Date

Until further notice

Requirements

A master's degree or above, equivalent experience in Computer Science, Electrical Engineering, or a related field with emphasis on foundational LLM, agentic AI, reinforcement learning, AI planning, or natural language processing
7+ years of hands-on work building large-scale, high-impact solutions—ideally in the most recent two years building agent-based systems, multi-agent collaboration, or similar paradigms
Experience developing dialogue systems capable of long conversations, multi-step reasoning, context-rich decision-making
Experience deploying and scaling AI services capable of handling hundreds of millions of daily interactions with high availability, low latency, and robust fault tolerance
A track record of publishing high-impact research in top AI/ML venues is a big plus.

Job Responsibility

Leverage frameworks like AgentSDK, and LangChain/LangGraph to design, prototype, and develop multi-agent systems that are capable of highly autonomous and context-aware interactions
Leverage advanced GenAI models including reasoning models, real-time voice API, etc, to build agentic prototypes and later on convert them into product-level agentic skills and deploy to users
Have the mentality of “build, learn, and pivot”, and hold the high bar of shipping into production
Mentor and guide engineers in using the right technologies for agentic AI solutions and foster a culture of innovation and responsible AI usage
Distill complex research findings and system designs into actionable insights for diverse audiences—including executives
Remain on the cutting edge of agentic AI emerging paradigms, driving product innovation
Serve as the focal point for applied science projects, driving alignment on timelines, and prioritization
Continuously refine processes for experimentation, A/B testing, and production rollouts to balance rapid innovation with reliability and responsible deployment.

Fulltime

Sr. Distinguished AI Engineer (Agentic AI Platform)

At Capital One, we are creating responsible and reliable AI systems, changing ba...

Location

United States , San Jose, California; San Francisco, California

Salary:

343400.00 - 392000.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies
At least 10 years of experience programming with Python, Go, Scala, or Java
9 years of experience deploying scalable and responsible AI solutions on cloud platforms
2+ years of experience supporting Agentic Frameworks
2+ years of experience with LLMOps
8+ years of experience designing mission-critical machine learning platforms
2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems
Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level
Experience developing AI and ML algorithms or technologies using Python, C++, C#, Java, or Golang
Master's degree in Computer Science, Computer Engineering, or relevant technical field

Job Responsibility

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
Contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs
Standardizing and automating agentic workflows
Contribute to crafting an end to end GenAI SDK, CLI and starter kits
Help bring together a vision of central guardrail services
Collaborate with cross organization architects to drive end to end performance
Accelerate innovation by incubating proof of concepts and driving RFCs
Own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs
Coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

Principal Applied Scientist (Multiple Openings) - Copilot and Agents Core

As Microsoft continues to push the boundaries of AI, we are looking for passiona...

Location

United States , Redmond

Salary:

142800.00 - 304200.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Job Responsibility

You will master a broad area or research and understand any applicable research techniques. You’ll also serve as a team expert on changes in industry trends, products, and other advances, and apply this knowledge to influence product needs
You will review business and product requirement, incorporate research, and provide strategic direction for problem solving. You’ll also ensure scientific rigor, support the development of methods, and apply your expertise to support business impact
Collaborate with stakeholders to gather and understand user requirements and expectations. Seek and incorporate continuous feedback from users and stakeholders to iteratively improve designs and solutions
You will document work and experimentation results and share findings to promote innovation. You’ll provide guidance when capturing processes and contribute to ethics and privacy policies related to research processes and data collection
Facilitate design meetings, creates design documents, and ensures alignment with project goals. Design system architecture that meets security, compliance, and scalability requirements
Lead implementation and deployment of solutions, ensuring they meet quality standards. Translate project vision into actionable milestones and guide the team in project estimation and planning. Mentor and guide team members to produce extensible and maintainable code through code reviews and pair programming
You will identify and inspire peers and new research talent to join Microsoft, build relationships, and advocate for research initiatives. You’ll share research findings through industry outreach, collaborate with the academic community, and help develop the recruiting pipeline

Fulltime

Principal AI Software Architect

Do you want to be at the forefront of innovating the latest hardware designs to ...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, PyTorch, CUDA/Triton
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Job Responsibility

Leads by example across teams and mentors others to produce extensible, maintainable, well-tested, secure, and performant code used across products that adheres to design specifications
Leads efforts to continuously improve code performance, testability, maintainability, effectiveness, and cost, while learning about and accounting for relevant trade-offs
Identifies best practices and coding patterns (e.g., leveraging state-of-the-art generative artificial intelligence [GenAI], approaches to source code organization, naming conventions) and provides deep expertise in the coding and validation strategy
Creates and applies metrics to drive code quality and stability, appropriate coding patterns, and best practices
Identifies and anticipates blockers or unknowns during the development process, escalates them, communicates how they will impact timelines, and then leads efforts to identify and implement strategies and/or opportunities to address them
Reviews product code and test code to ensure it meets team standards, contains the correct test coverage, and is appropriate for the product or solution area
Brings insight to code reviews to help improve code quality, coaching and providing feedback to develop other engineers' skills
Conducts code reviews in a timely fashion that helps accelerate the pace of development on the team. Considers diagnosability, reliability, testability, and maintainability when reviewing code, and understands when code is ready to be shared or delivered
Applies and reviews for coding patterns, security risks, compliance issues, and best practices in code reviews, providing feedback on code to drive adherence to best practices
Uses automated source code analysis tools that are incorporated into the build/development process

Fulltime

Principal Applied Scientist

Within AI Platform, the GenAI Systems team in Azure AI is seeking a Principal Ap...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

10+ years of experience in machine learning, with a strong focus on GenAI and LLMs
Depth in Data Science, Generative AI and Engineering
Ph.D. or Master's in CS, AI, or a related field
Hands-on experience with LLM fine-tuning, model compression, and synthetic data generation preferred
strong background in machine learning, deep learning, and natural language processing
Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch)
Experience with transformer based models (e.g., BERT, GPT, T5, Llama)
Familiarity with cloud platforms (e.g., Azure, AWS) and distributed computing
Solid understanding of statistics, linear algebra, and probability theory is preferred
Excellent problem-solving skills and the ability to work independently and collaboratively

Job Responsibility

Optimize model performance, scalability, and efficiency
Conduct experiments to evaluate model performance, robustness, and generalization
Implement customization techniques for various NN based architectures
Explore novel techniques and approaches to enhance model capabilities
Stay up-to-date with the latest advancements in NLP, deep learning, and AI research
Work with large-scale datasets, preprocess them, and create appropriate representations
Select relevant features and ensure data quality for training and evaluation
Develop and deploy customized LLM solutions for customer scenarios
Optimize models using fine-tuning, distillation, and synthetic data generation
Mentor and guide team members to foster innovation and technical excellence

Fulltime

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Principal Engineer – GenAI & Applied AI

Job Description

Job Responsibility

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