Python + GenAI Job at Realign (Charlotte)

GenAI Technical Lead

This is an exciting opportunity for an experienced engineer to work within the G...

Location

Salary:

Not provided

Admiral Group Plc

Expiration Date

Until further notice

Requirements

Development using Python, JavaScript libraries and frameworks (Next.js and React preferred)
Development of serverless or backend applications (Node.js, Python etc)
API/MCP knowledge and related security principles
Understanding of RAG processes and technologies (Vector, Graph, DocDB)
Strong knowledge of SDLC and CI/CD
Strong knowledge and understanding of GenAI technologies
Passion for GenAI

Job Responsibility

Mentor and help junior members level up
Keep up to date with GenAI technologies
Develop backend services, using Python, node, flask or Django
Develop modern responsive multi device applications, using modern dev languages and technologies
Build and design Infrastructures, creating services for POCs or pre-production
Support and consult with technical teams within Admiral operating companies and their departments
Adhere to Admiral security standards and responsible AI principles
Share knowledge by pair programming, show and tell sessions
Contribute actively to technology research by creating material or experiments to test disruptive technologies, new GenAI models, tuning or agentic techniques
Work in concert with team Business Analysts to ensure measurable and fulfil team OKRs

What we offer

33 days holiday (including bank holidays) when they join us, increasing the longer you stay with us, up to a maximum of 38 days (including bank holidays)
Option to buy or sell up to an additional five days of annual leave
Eligible for up to £3,600 of free shares each year after one year of service
Financial & Mortgage Advice
24-Hour Ecare
Cycle to Work Scheme
Annual Holiday Allowance
Flexible Working
Simply Health
Private Health Cover

Fulltime

Machine Learning Tech Lead, GenAI

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...

Location

Salary:

8000.00 USD / Month

Provectus

Expiration Date

Until further notice

Requirements

Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models)
Strong expertise in AWS Cloud Services
Strong experience in ML/AI, including at least 2 years in a leadership role
Hands-on experience with Python, TensorFlow/PyTorch, and model optimization
Familiarity with MLOps tools and best practices
Excellent problem-solving and decision-making abilities
Strong communication skills and the ability to lead cross-functional teams
Passion for mentoring and developing engineers

Job Responsibility

Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment
Drive the roadmap for machine learning projects aligned with business goals
Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery
Design, develop, and fine-tune LLMs and other machine learning models to solve business problems
Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction
Stay ahead of advancements in LLMs and apply emerging technologies
Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML
Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.)
Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS
Ensure best practices in security, monitoring, and compliance within the cloud infrastructure

What we offer

Annual Performance Bonus: 10% of base salary
Sign-In Bonus: USD 8,000 — paid in two installments: 50% upon start (USD 4,000) 50% upon completion of trial period (USD 4,000)

Python Tech Lead

We are looking for an experienced Python Tech Lead who can guide a team of devel...

Location

India , Bengaluru

Salary:

Not provided

EvoluteIQ

Expiration Date

Until further notice

Requirements

Minimum 10+ years of professional experience in Python development
Experience of leading a team of 3-4 people for last 2 years
Hands-on experience in building Python applications, executing them for production, and maintaining them in a live environment actively
Proficiency in Python frameworks like Django, Flask, or FastAPI
Strong knowledge of RESTful API design and integration
Experience with SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB)
Familiarity with cloud platforms (AWS, GCP, Azure) and DevOps tools
Understanding microservices architecture and containerization
Excellent problem-solving and debugging skills
Strong communication and leadership abilities

Job Responsibility

Lead the design, development, and optimization of scalable Python-based applications
Collaborate with cross-functional teams to define software architecture and system requirements
Architect, develop, and deploy APIs, microservices, and backend components
Mentor and guide junior developers through code reviews and technical best practices
Build integrations with cloud-native services (AWS, Azure, or GCP) and containerized environments (Docker, Kubernetes)
Collaborate with front-end teams to enable seamless integration with backend services
Develop test plans, write unit tests, and ensure code quality and scalability
Leverage knowledge of AI/ML, data structures, algorithms, and design patterns to solve complex problems efficiently

What we offer

Opportunity to shape the strategy of a next-gen hyper-automation platform
Work with a cross-disciplinary team in a fast-growing, innovation-driven environment
Competitive compensation and growth opportunities
A culture of innovation, ownership, and continuous learning

Fulltime

Gen AI/Data Engineer

Job Title: Gen AI/Data Engineer. Duration: 12 Months. Location: Addison TX. Pay ...

Location

United States , Addison

Salary:

65.00 - 68.26 USD / Hour

Apex Systems

Expiration Date

Until further notice

Requirements

Expert Python development skills
Python, PySpark, Scala - heavy data engineer skills
RAG LLM, (Chat GPT – Copilot) –need a someone who has experience developing these technologies. NOT a User
Hands-on experience in application development in one or more areas MongoDB, Redis, Angular/React Frameworks, Containerization.
Experience with AI/ML/GenAI Lifecycle Management and Development and its Ecosystem. Hands on experience building frameworks using MLFlow, KubeFlow, Fine – Tuning techniques, Inference Frameworks
Building API based application leveraging FAST API services, JWT Integration, API Gateway
Working in large sized teams that collaboratively develop on a shared multi-repo codebase using IDEs (e.g. VS Code rather than Jupyter Notebooks), Continuous Integration (CI), Continuous Deployment (CD) and Continuous Testing
Hands-on DevOps experience with one or more of the following enterprise development tools: Version Control (GIT/Bitbucket), Build Orchestration (Jenkins), Code Quality (SonarQube and pytest Unit Testing), Artifact Management (Artifactory) and Deployment (Ansible)

Job Responsibility

Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements.
Utilizes multiple architectural components (across data, application, business) in design and development of client requirements.
Performs Continuous Integration and Continuous Development (CI-CD) activities.
Contributes to story refinement and definition of requirements.
Participates in estimating work necessary to realize a story/requirement through the delivery lifecycle.

What we offer

medical, dental, vision, life, disability, and other insurance plans
ESPP (employee stock purchase program)
401K program with a company match after 12 months of tenure
HSA (Health Savings Account on the HDHP plan)
SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions
corporate discount savings program
on-demand training program
access to certification prep and a library of technical and leadership courses/books/seminars after 6+ months of tenure
certification discounts
dedicated customer service team

Fulltime

GenAI Engineer

As a Generative AI Engineer at InfoObjects, you will design, develop, and deploy...

Location

India , Jaipur

Salary:

Not provided

InfoObjects

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related fields
Strong experience with Python and machine learning frameworks like PyTorch or TensorFlow
Practical understanding of LLMs (GPT, Claude, Llama, Gemini) and generative models (Diffusion Models, GANs)
Hands-on with APIs and platforms such as OpenAI, Hugging Face, LangChain, and Vector Databases (Pinecone, Weaviate, ChromaDB)
Vector DBs: Experience with AWS solutions including Aurora Postgres, and Databricks Mosaic AI Vector Search
Cloud Platforms: Proficiency in AWS, GCP, Azure, and Databricks
Document Processing: Familiarity with tools like Azure AI Document Intelligence
Orchestration: Experience integrating AWS Knowledge Bases for AI pipeline orchestration
Knowledge of model evaluation, fine-tuning, retrieval-augmented generation (RAG), and ethical AI practices
Strong analytical mindset and the ability to solve complex problems creatively

Job Responsibility

Design and implement generative AI models using frameworks like OpenAI, Hugging Face, or custom architectures
Fine-tune large language models (LLMs) and multi-modal models to align with specific client and project needs
Research and apply advanced techniques including prompt engineering, reinforcement learning with human feedback (RLHF), and model optimization
Collaborate with product teams to integrate AI-powered features into scalable applications
Monitor and improve AI model performance through continuous training and evaluation
Contribute to the development of AI best practices and ensure ethical AI adoption

GenAI Prompt Security Engineer

This role sits within the newly formed GenAI Security team, which is responsible...

Location

United Kingdom , Belfast

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Highly motivated self-starter with excellent interpersonal and problem-solving skills
Bachelor’s degree or equivalent work experience
Good oral and written communication skills
Significant relevant industry work experience
Experience of the full lifecycle of design, implementation and running of enterprise software solutions involving cross functional team collaboration
Expertise in a major programming language such as Python and/or Go, and associated tooling (Git, Maven, IDEs, Jenkins, Bitbucket etc)
Expertise in designing and implementing secure APIs and libraries
Experience in Generative AI, LLM frameworks, LLM prompt engineering and/or adversarial testing is a bonus
Experience with Cyber engineering and Operations, which could include DevSecOps or MLSecOps
Experience contributing to the architecture and design (architecture, design patterns, reliability, scaling) of new and current systems

Job Responsibility

Designing, developing, optimizing, and enhancing a GenAI prompt security platform to protect firm AI/LLM-based applications from adversarial attacks and prompt injections
Building and automating a security testing framework to validate protection mechanisms for various LLM use cases
Owning solutions that are expected to operate and perform at scale across the organisation
Collaboration with multiple stakeholders and partners across Engineering and Operations as well as partner teams within the wider Citi organisation, across different time zones

Fulltime

Research Engineer, GenAI

You will be part of Kiddom’s Data Science team, building the foundation of our s...

Location

United States , San Francisco; New York

Salary:

175000.00 - 250000.00 USD / Year

Kiddom

Expiration Date

Until further notice

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

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

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

ML Tech Lead, GenAI

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...

Location

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models)
Strong expertise in AWS Cloud Services
Strong experience in ML/AI, including at least 2 years in a leadership role
Hands-on experience with Python, TensorFlow/PyTorch, and model optimization
Familiarity with MLOps tools and best practices
Excellent problem-solving and decision-making abilities
Strong communication skills and the ability to lead cross-functional teams
Passion for mentoring and developing engineers

Job Responsibility

Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment
Drive the roadmap for machine learning projects aligned with business goals
Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery
Design, develop, and fine-tune LLMs and other machine learning models to solve business problems
Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction
Stay ahead of advancements in LLMs and apply emerging technologies
Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML
Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.)
Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS
Ensure best practices in security, monitoring, and compliance within the cloud infrastructure

Python + GenAI

Realign

Location:
United States , Charlotte

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 21, 2026

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Location:United States , Charlotte

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Job Posted:March 21, 2026

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Job Posted:
March 21, 2026