CrawlJobs Logo

Junior GenAI Engineer

leverx.com Logo

LeverX

Location Icon

Location:
Georgia

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

LeverX is looking for a Junior GenAI Engineer. As an Engineer specializing in Generative AI, you will be at the forefront of integrating advanced AI technologies into scalable back-end systems. In this role, you will play a key part in shaping innovative generative AI and chatbot applications that drive business value.

Job Responsibility:

  • Design and deploy microservices and back-end systems with a focus on generative AI and chatbot applications
  • Integrate and optimize third-party AI products, including LLMs and related orchestration frameworks
  • Optimize AI pipelines using vector databases (e.g., Pinecone, Chroma, Vanna) and tools like LangChain and LlamaIndex for efficient retrieval-augmented generation
  • Collaborate with cross-functional teams to capture, clarify, and translate stakeholder requirements into technical solutions
  • Stay ahead of AI trends by prototyping emerging tools and standards (OpenAI APIs, AI agents, multimodality) to drive innovation
  • Ensure adherence to AI protocols, standards, and best practices throughout the software development lifecycle

Requirements:

  • At least 1+ years of experience in Back-End roles, including building microservices (FastAPI, Django) and working with REST/gRPC APIs
  • Hands-on experience working with GenAI tools and frameworks, including LangChain, LlamaIndex, and RAG pipelines
  • A solid grasp of AI integration patterns — prompt engineering, model fine-tuning, and vector database optimization
  • Upper-Intermediate English
What we offer:
  • Excellent work environment: the company is big enough to be reliable, yet small enough to be person-oriented
  • Full-cycle projects and product development
  • Training & development-focused approach: clear roadmap for training employees to sustain and enhance the productivity of the organization as a whole, internal technical meetups, free English classes
  • Collaboration with the teams from the European Union and the United States both onsite and remotely

Additional Information:

Job Posted:
January 05, 2026

Work Type:
On-site work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Junior GenAI Engineer

Research Engineer, GenAI

You will be part of Kiddom’s Data Science team, building the foundation of our s...
Location
Location
United States , San Francisco; New York
Salary
Salary:
175000.00 - 250000.00 USD / Year
kiddom.co Logo
Kiddom
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of industry experience applying machine learning to solve real-world problems with large, complex datasets
  • 1–2 years in a technical leadership role
  • Proven track record designing, evaluating, and deploying ML/AI systems in production environments that drive measurable business impact, ideally in recommendation, personalization, search, or workflow optimization
  • Strong programming skills in Python
  • Fluency in data manipulation (SQL, Pandas) and common ML toolkits (scikit-learn, XGBoost, TensorFlow/PyTorch)
  • Strong analytical skills and ability to break down complex problems into measurable hypotheses and experiments
  • Excellent communication skills with a history of cross-functional collaboration with product, design, and engineering stakeholders
Job Responsibility
Job Responsibility
  • Architect and scale machine learning systems for search, personalization, and recommendations that power Kiddom’s teacher helper and insight engine
  • Develop evaluation-first development workflows to measure how models improve teaching efficiency, lesson planning, and student learning outcomes
  • Fine-tune machine learning models with feedback signals from teachers and students to align outputs with instructional goals and classroom needs
  • Design intelligent discovery pipelines that combine semantic retrieval, curriculum alignment, and real-time personalization
  • Build agentic assistants that help teachers plan lessons, adapt instruction, and reduce repetitive tasks
  • Collaborate closely with product managers, designers, and curriculum experts to translate high-level educational goals into scalable ML-powered systems
  • Coach and mentor junior ML engineers and data scientists, fostering technical and professional growth
What we offer
What we offer
  • Meaningful equity
  • Health insurance benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance
  • One Medical membership (in participating locations)
  • Flexible vacation time policy (subject to internal approval). Average use 4 weeks off per year
  • 10 paid sick days per year (pro rated depending on start date)
  • Paid holidays
  • Paid bereavement leave
  • Paid family leave after birth/adoption. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State
  • Commuter and FSA plans
  • Fulltime
Read More
Arrow Right

Senior GenAI Engineer

The Senior GenAI Engineer will lead the design and development of innovative Gen...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s/Master’s Degree or equivalent
  • 8+ years in software/ML engineering
  • 1.5+ years hands-on with LLMs/GenAI and agentic frameworks
  • Proven track record shipping production AI systems on at least one hyperscaler (Azure/AWS/GCP)
  • Experience leading 3–6 engineers and owning end-to-end delivery
  • Strong Python experience to build multiple AI-ML/ GenAI Solutions
  • Experience working on Agent orchestration with leading frameworks like LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen
  • Strong experience working on Vector DB like Pinecone, Milvus, Redis/pgvector)
  • Should have experience working on hybrid search and re-rankers
  • Should have experience on evaluation & observability
Job Responsibility
Job Responsibility
  • Design & build GenAI/agentic systems (chat copilots, workflow/graph agents, tool use, memory)
  • Implement chunking, hybrid search, vector stores, re-ranking, feedback loops, and continuous data quality/eval
  • Select/integrate/finetune LLMs & multimodal models
  • Apply prompt-engineering techniques to specific use cases and types
  • Should have clear understanding of CI/CD
  • Should have knowledge in configuring guardrails, PII redaction
  • Finetune LLM models
  • Should be able to work on solution building along with presales/customer teams
  • Collaborate with clients/Stakeholders from multiple Geographies
  • Stay informed about the latest advancements in Gen AI, machine learning, and AI technologies to optimize our technical stack
Read More
Arrow Right

GenAI Engineering Lead

We are seeking an exceptional and highly motivated GenAI Tech Lead to join our d...
Location
Location
India , Pune
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10-15 years of relevant experience in Apps Development or systems analysis role, with a significant portion dedicated to AI/ML and demonstrable hands-on experience in designing, building, and deploying real-world Generative AI solutions, with a specific focus on GenAI adoption and Agentic AI for business process automation
  • Proficiency in at least two programming languages. Strong preference for Python, with significant experience in Javascript/Typescript and Golang being highly valued
  • Demonstrated deep hands-on experience in engineering and deploying enterprise-grade solutions that are highly scalable, resilient, and performant
  • Strong theoretical and practical understanding of Large Language Models (LLMs), including experience with various open-source and proprietary models, fine-tuning techniques, and deployment strategies
  • Proficiency with transformers, agentic frameworks, vector stores, and advanced search algorithms
  • Hands-on experience with Retrieval Augmented Generation (RAG) implementations
  • Experience with relevant GenAI/ML frameworks such as LangChain, LangGraph, MLFlow, Spring AI, Spring Boot, and Flask
  • Extensive experience with data analysis and manipulation using tools like SQL and Pandas
  • Proficiency in database technologies including Oracle, Postgres, or MongoDB
  • Proven experience in designing and implementing robust REST and WebSocket APIs
Job Responsibility
Job Responsibility
  • Strategic Leadership & GenAI Adoption: Drive the identification, evaluation, and adoption of emerging Generative AI technologies and tools to develop innovative solutions and enhance existing platforms. Actively design, develop, and implement AI/ML solutions within financial applications, with a strong emphasis on practical GenAI adoption. This includes hands-on coding, prototyping, and deploying GenAI solutions
  • Agentic AI for Business Process Automation: Lead the end-to-end design, prototyping, and implementation of Agentic AI solutions focused on automating critical business processes, ensuring they address business needs and scale effectively across the enterprise. This includes designing and implementing Retrieval Augmented Generation (RAG) systems to enhance accuracy and contextuality, especially for financial data
  • Chatbot Development: Design, develop, and deploy intelligent chatbot solutions capable of interacting with users across both structured data sources and unstructured data, leveraging GenAI for natural language understanding and generation in complex conversational flows
  • Document Processing & OCR Integration: Implement solutions for processing and extracting information from documents, including integrating Optical Character Recognition (OCR) technologies to handle scanned documents and images, making their content available for GenAI models
  • Text-to-SQL Implementation: Develop and deploy solutions leveraging Large Language Models to facilitate Text-to-SQL capabilities, enabling users to generate SQL queries from natural language requests, thus simplifying data access and analysis from structured databases
  • Data Analysis & Feature Engineering: Analyze large, complex datasets, identify intricate patterns, and extract actionable insights, leveraging GenAI capabilities for data augmentation or synthetic data generation, particularly relevant for Agentic AI applications
  • Data Pipeline Development: Build and maintain robust, scalable data pipelines for data ingestion, processing, and transformation, specifically optimizing for the unique requirements of GenAI model training and inference
  • Cross-Functional Collaboration: Partner with multiple management teams and business stakeholders to deeply understand requirements and translate them into precise technical specifications and actionable roadmaps, incorporating GenAI and Agentic AI possibilities into discussions
  • System Enhancements & Architecture: Identify and define necessary system enhancements to deploy new GenAI products and process improvements. Ensure application design adheres to the overall architecture blueprint, integrating GenAI and Agentic AI components seamlessly
  • Problem Resolution: Resolve a variety of high-impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards, applying GenAI and Agentic AI where they can offer innovative solutions
  • Fulltime
Read More
Arrow Right

Senior Software Engineer

Microsoft Intune is a comprehensive endpoint management solution that provides I...
Location
Location
United States , Redmond
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience
  • Ability to pass Microsoft Cloud Background Check upon hire/transfer and every two years thereafter
  • Master'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++, C#, Java, JavaScript, or Python
  • 5+ years of experience in software development, with a focus on distributed systems, high-scale engineering, and cloud computing
  • 5+ years of experience with cloud platforms (Azure, AWS, GCP)
  • 5+ years of experience working in fast paced enviornment, leading technical discussions, working on performance optimization using a data-driven approach to debugging
  • 1+ years of experience using GenAI-based software development tools and methodologies
Job Responsibility
Job Responsibility
  • Technical Leadership: Lead technical design and architecture discussions
  • Drive technical roadmap and vision for infrastructure, aligning with Intune's overall strategy
  • Collaborate with product management to define and prioritize project backlogs
  • Software Development: Design, develop, and deploy distributed systems software components in core infrastructure, ensuring high availability, scalability, and performance
  • Write high-quality, maintainable code, and review contributions from junior engineers
  • Mentorship and Knowledge Sharing: Mentor junior engineers, providing guidance and oversight on complex projects
  • Develop and maintain technical documentation, ensuring knowledge sharing and best practices
  • Innovation and R&D: Explore emerging technologies and trends, assessing their impact on our distributed systems and services
  • Drive proof-of-concept projects, demonstrating innovative solutions and technical expertise
  • Collaboration and Communication: Work closely with cross-functional teams, including product management, design, and operations
  • Fulltime
Read More
Arrow Right

Senior ML Engineer

We are looking for a highly motivated GenAI Engineer to join the Customer Obsess...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or Master's in Computer Science, Statistics, or a related field or Equivalent Experience in Conversational GenAI
  • Minimum 8 years of experience in industry with a strong focus on machine learning and optimization
  • Experience with ML packages such as Tensorflow, PyTorch, JAX, and Scikit-Learn
  • Solid understanding of statistical analysis and feature engineering techniques
  • Excellent communication and collaboration skills
  • Ability to work independently and take ownership of projects
  • Experience using SQL in a production environment
  • Experience in experimental design and analysis, exploratory data analysis, and statistical analysis
  • Experience with dashboarding and using data visualization tools
  • Experience using statistical methodologies such as sampling, statistical estimates, descriptive statistics, or similar
Job Responsibility
Job Responsibility
  • Design, develop, and productionize machine learning (ML) solutions in the field of customer support engineering spanning generative AI algorithms, agentic AI design at scale, NLP for query understanding and ranking responses, distillation techniques, etc.
  • Productionize and deploy these models for real-world applications in customer support
  • Design and analyze experiments using a combination of data analysis/statistical analysis to lead the team to a reasonable inference
  • Review code and designs of teammates, providing constructive feedback
  • Collaborate with cross-functional teams to brainstorm new solutions and iterate on the product
  • Mentor junior engineers
Read More
Arrow Right

Senior ML Engineer

We are looking for a highly motivated GenAI Engineer to join the Customer Obsess...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or Master's in Computer Science, Statistics, or a related field or Equivalent Experience
  • Minimum 5 years of experience in industry with a strong focus on machine learning and optimization
  • Experience with ML packages such as Tensorflow, PyTorch, JAX, and Scikit-Learn
  • Solid understanding of statistical analysis and feature engineering techniques
  • Excellent communication and collaboration skills
  • Ability to work independently and take ownership of projects
  • Experience using SQL in a production environment
  • Experience in experimental design and analysis, exploratory data analysis, and statistical analysis
  • Experience with dashboarding and using data visualization tools
  • Experience using statistical methodologies such as sampling, statistical estimates, descriptive statistics, or similar
Job Responsibility
Job Responsibility
  • Design, develop, and productionize machine learning (ML) solutions in the field of customer support engineering spanning generative AI algorithms, agentic AI design at scale, NLP for query understanding and ranking responses, distillation techniques, etc.
  • Productionize and deploy these models for real-world applications in customer support
  • Design and analyze experiments using a combination of data analysis/statistical analysis to lead the team to a reasonable inference
  • Review code and designs of teammates, providing constructive feedback
  • Collaborate with cross-functional teams to brainstorm new solutions and iterate on the product
  • Mentor junior engineers
  • Fulltime
Read More
Arrow Right

Senior ML Engineer

We are looking for a highly motivated GenAI Engineer to join the Customer Obsess...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
themuse.com Logo
The Muse
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or Master's in Computer Science, Statistics, or a related field or Equivalent Experience
  • Minimum 5 years of experience in industry with a strong focus on machine learning and optimization
  • Experience with ML packages such as Tensorflow, PyTorch, JAX, and Scikit-Learn
  • Solid understanding of statistical analysis and feature engineering techniques
  • Excellent communication and collaboration skills
  • Ability to work independently and take ownership of projects
  • Experience using SQL in a production environment
  • Experience in experimental design and analysis, exploratory data analysis, and statistical analysis
  • Experience with dashboarding and using data visualization tools
  • Experience using statistical methodologies such as sampling, statistical estimates, descriptive statistics, or similar
Job Responsibility
Job Responsibility
  • Design, develop, and productionize machine learning (ML) solutions in the field of customer support engineering spanning generative AI algorithms, agentic AI design at scale, NLP for query understanding and ranking responses, distillation techniques, etc.
  • Productionize and deploy these models for real-world applications in customer support
  • Design and analyze experiments using a combination of data analysis/statistical analysis to lead the team to a reasonable inference
  • Review code and designs of teammates, providing constructive feedback
  • Collaborate with cross-functional teams to brainstorm new solutions and iterate on the product
  • Mentor junior engineers
What we offer
What we offer
  • Health Insurance
  • Health Reimbursement Account
  • Dental Insurance
  • Vision Insurance
  • Life Insurance
  • FSA With Employer Contribution
  • Fitness Subsidies
  • On-Site Gym
  • Mental Health Benefits
  • Fertility Benefits
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

We are looking for our Founding Senior Data Engineer responsible for designing a...
Location
Location
United States , New York City
Salary
Salary:
150000.00 - 200000.00 USD / Year
Sciemo
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven track record of deploying AI products into customer environment
  • Strong grasp of core machine learning, genai, agent and graph concepts, and best practices.
  • Experience building a customer success team
  • Demonstrated self-motivation, hacking mentality, and creative problem-solving abilities.
  • Experience contributing thought leadership and driving innovation for AI within a customer context.
Job Responsibility
Job Responsibility
  • Cloud Data Pipeline Design & Development: Build scalable, cost‑effective ETL/ELT pipelines with AWS Glue, Athena, Redshift, S3, and Lambda (Python).
  • Integrate data from diverse source systems (REST, streaming, databases, SaaS) and standardize into business‑specific target models (dimensional, lakehouse, or graph schemas).
  • Leverage orchestration frameworks (Apache Airflow, AWS Step Functions) and versioned SQL/Python transformations (dbt or similar) to enable repeatable deployments.
  • Data Governance, Lineage & Privacy: Implement data lineage and catalog solutions (DataHub, Amundsen, or OpenMetadata) ensuring end‑to‑end traceability.
  • Enforce data governance and control‑plane policies using AWS Lake Formation or equivalent, aligning with SOC 2, ISO 27001, GDPR, and CCPA requirements.
  • Champion data‑quality SLAs, automated testing, and monitoring (Great Expectations, Monte Carlo, or similar).
  • Collaboration & Enablement: Partner with ML Engineers and Data Scientists to provision feature stores and training datasets.
  • Work with Backend Engineers to design efficient APIs and streaming interfaces for real‑time data access.
  • Document data models, publish best practices, and mentor junior engineers on modern data‑engineering standards.
What we offer
What we offer
  • Offers Equity
  • 25% discretionary performance bonus, paid quarterly
  • Fulltime
Read More
Arrow Right